Technology is gradually taking over workplaces and that is one of the reasons why 'human workers' are becoming redundant.
Source: BGR
13317
Machine learning is an in-demand skill to add to your resume. We walk through steps for wading into machine learning with the help of Python.
Source: Opensource15387
Learn about three of the most popular machine learning libraries for Python.
Source: Opensource16422
So you have a great business idea for a wonderful IT product or service, and you want to build your high tech startup around it. Having the idea is a great start, but you will have to build an IT solution/service to get your business off the ground; be it a website, software solution, social network, or mobile app. Which programming language to choose to write these IT products is always the question to get the startup going on a reasonable budget.
Source: Opensource8307
Everyone wants to work from home or from a beach somewhere. If you're looking to make this happen with a career in coding, Python is an obvious choice. Today's AAPicks deal could be the ideal way in â?? The Complete Python Programming Bundle.
Source: Androidauthority12030
Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.
Source: HOB Team24759
To actually use any of that information, data scientists have become more and more vital to companies - to analyse and interpret the huge amounts of data and turn it all into something structured and useful.
Source: ScienceAlert7140
Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.
Source: Kdnuggets10911
Advance from building a first program to building a neural network.
Source: Opensource8745
Facebook has a huge amount of data that is available for you to explore, you can do many things with this data. I will be sharing my experience with you on how you can use the Facebook Graph API for analysis with Python.
Source: KDnuggets10593
IDE stands for Integrated Development Environment. It's a coding tool which allows you to write, test and debug your code in an easier way, as they typically offer code completion or code insight by highlighting, resource management, debugging tools
Source: Datacamp19005
Coding languages go in and out of fashion as new languages emerge and established languages become obsolete. Software developers need to keep up with these trends to remain employable and capable of creating cutting-edge software.
Source: Masterofcode16008
Since February I have been working on a video course with Packt Publishing, and the course is now published.
Source: NTguardian11073
What if I tell you there exists a library called MLBox , which does most of the heavy lifting in machine learning for you in minimal lines of code? From missing value imputation to feature engineering using state-of-the-art Entity Embeddings for categorical features, MLBox has it all.
Source: Analytics Vidhya14811
This course created by Data Weekends, Jose Portilla, and Francesco Mosconi is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.
Source: Medium17979
So you have developed some base skills in programming, data visualization, data manipulation etc... And are looking for ways to apply those skills and build a data science portfolio?
Source: Datacamp7896
Let's say you have an amazing idea for a machine learning app. It's going to be brilliant. It's going to revolutionize the world of finance, mobile advertising, or... some other world, but it's definitely going to revolutionize something. And gosh darn it, it's going to be the smartest, most learned app the world has ever seen.
Source: Webhose15351
Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
Source: Kdnuggets12045
Demand for developers with data science skills continues to grow. Here's what you need to learn to break into a career in the field.
Source: Techrepublic7131
Mention machine learning, and many common frameworks pop into mind, from "old" stalwarts like Scikit-learn to juggernauts like Google's TensorFlow. But the field is large and diverse, and useful innovations are bubbling up across the landscape.
Source: Info World7557
The most valuable contributors to machine learning are often generalists. Especially in 2017, there is a lot of hype around particular machine learning methods. Candidates who have learned how to use a certain deep learning package in an online course and are applying to jobs remind me of people in the 1990s, when there was similar hype around the web, who read the "Learn VBScript in 20 Days" kinds of books instead of learning the fundamentals of computer science.
Source: HuffPost14925
Given that data was held in such high regard even in the late 19th century, it is no surprise that this would be the case in the age of Internet and information overload. In fact, simply having data will no longer cut it; you need to know how to interpret it and how to derive actionable insights from it.
Source: The Hindu6699
Really you want to upgrade your skills with the best Data Analytics, Development courses, to stand out in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.
Source: HOB Team9174
Artificial intelligence is a growing field and one which can be written in various programming languages. However it remains difficult to identify which of the many languages should be used for the AI project you may be working on next. Here are some of the best languages for programming AI to help you decide.
Source: Techworld30297
In the tech industry, new skills and roles emerge faster than traditional education can keep up with. A recent example is the field of data science and the associated profession, Data Scientist.
Source: Codementor49458
I am a CS undergrad, currently in the third year of my academic program. I have been interested in the core computer science discipline for a long time, and that is why I like pursuing this field.
Source: Codementor9984
ABSA is the analysis of a given statement, paragraph, or a huge document for getting insight about what the text or document is talking about.
Source: Codementor12378
We have recommendation systems ever present today. Web giants like Google, Microsoft, Facebook user algorithms to search results that you would find most relevant, based on your previous searches and also similar data from other users. In fact, for that matter any platform that has a search bar collects search data in order to provide you with better search results.
Source: HOB12861
Employers also want developers skilled in React.js, Angular, and Node.js-but fewer developers have those skills
Source: Infoworld10455
We live in a world with unprecedented amounts of stats, facts, and figures, and it's slightly overwhelming. And in order to make that data useful, companies need to hire analysts who know how to sift through it and find meaningful patterns. According to GlassDoor, a typical data scientist earns about $120,000 per year, meaning this is the kind of career that can get you living that good life.
Source: Mashable11430
Release 5.1 of Anaconda, the data science and machine learning platform, now includes Visual Studio Code as an IDE. This is part of a wider collaborative effort between Anaconda Inc. and Microsoft.
Source: Infoq20580
LinkedIn's 2017 U.S. Emerging Jobs Report-fittingly created with the power of data science-lists data science roles as one of the top emerging positions in the U.S. today, with 6.5X growth over the last five years.
Source: Springborad9408
Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library
Source: Infoworld22941
Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science
Source: Kdnugget47655
According to the IT programming trend, Java is currently more popular than other programming languages in terms of number of jobs, number of existing Java developers and overall usage statics in IT compared to Python.
Source: Mytectra13734
We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.
Source: Kdnugget27462
Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas. All images link back to the cheat sheets in their original locations.
Source: Kdnugget29982
What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?
Source: Kdnugget9108
What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?
Source: Kdnugget4161
This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.
Source: Kdnugget37527
Looking to learn Python this year? Come check out a list of the best five courses to help start your journey and get you closer to being a Python pro!
Source: Dzone16617
We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.
Source: Kdnugget19191
If you are looking to learn python than what could be a better source than taking help from books written by professionals? In order to help you with your search we have created a list of best book for python data science, so that you don't have to wait and based on your requirements you can start your learning process with best books to learn python:
Source: Digital Vidya27084
Personally, I haven't learnt as much from videos & online tutorials as much I've learnt from books. Until this very moment, my tiny wooden shelf has enough books to keep me busy this winter.
Source: AV16428
I recently came across Rachel Tomas's article on the importance and value of writing about what you learn, and Julia Evans's advice on why and how to write, and thus I have decided to follow their advice and write an article (for the first time ever!).
Source: TDS26484
Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.
Source: TDS10041
All have probably heard the buzz, the age of Machine Learning has arrived.
Source: HOB9534
Language doesn't mean that this is on 5th positon is bad or language is at 1st position is the best language. It's just the classification and giving them the number's. Have a look on top five programming languages as Python, JavaScript, Java, Swift, C#.
Source: HOB13068
I've read a number of articles stating how hard it was to get into Analytics and Data Science. This hasn't been my experience, so I wanted to share. We'll look at interviewing, the tools I currently use, what parts of industry I wasn't prepared for in school, and what my career trajectory has looked like. But not in that particular order.
Source: TDS10854
So I found this amazing blogger Vimarsh Karbhari and he have some amazing stuffs on his blog! So please check him out, also he is the creator of Acing AI. And today, I'll try to answer his Microsoft AI Interview question from this blog.
Source: TDS16947
The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.
Source: HOB19902
Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.
Source: HOB21351
It all started when futuristic technologists started to code 'Assembly'. This allowed them to build programs which they now wanted to run at tremendous speeds.
Source: HOB7821
Machine Learning is a term that covers quite a large field. It is an immense field to explore upon. It uses linear regression, logistic regression, classification, deep learning, support vector machines and neural networks. It is a branch of data science and is a very exciting field. One of its main applications is in artificial intelligence.
Source: HOB9636
In the Big Data world, Web Scraping or Data Extraction services are the main and very first requisites for Big Data Analytics. Extracting data from the web has become very necessary for companies to survive in business.
Source: HOB13386
So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.
Source: HOB18528
Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel
Source: HOB4992
Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel
Source: HOB8646
Using the FeatureSelector for efficient machine learning workflows
Source: HOB12042
Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.
Source: HOB12624
Numbers don't lie data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies
Source: HOB10386
Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data science and data analytics, people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact on how a business is run, especially as the amount of available data grows and becomes a greater part of our everyday lives.
Source: HOB23145
Machine learning is changing the way we do things, and it has started becoming main-stream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it is becoming easier for developers to apply it. And, that is through open source frameworks.
Source: HOB10326
Deep Learning is a subset of Machine Learning and it works on the structure and functions of a human brain. It learns from the data that is structured and uses complex algorithms to train a neural net. This is a learning mechanism. Deep learning is a neural network somewhat looks like this there is something known as an input layer and then there is an output layer and in between there are a bunch of hidden layers so typically it would be at least one hidden layer and anything more than one hidden layer is known as a deep neural network so any neural network with more than three layers altogether right based known as a deep neural.
Source: HOB8316
Machine Learning is a subfield of computer science which gives computers the ability to learn without being explicitly programmed. It is concerned with construction of algorithms than can learn and make predictions from data.
Source: HOB9720
In the professional sphere, it's important to let go of the tools and traditions that no longer suit you. Every business leader knows that in order to stay relevant and profitable in their particular industry, it's important for their companies to adapt to changing practices, technologies and business models. With the unbelievable development in Artificial Intelligence (AI) that developers have created in recent years, companies are continuously on the chase for the latest, cutting-edge software that will help them to retain their role as a leader in their industry.
Source: HOB25992
Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.
Source: HOB5208
For all those who are searching for job, year 2018 is going to be the year where you can move further in the tech industry and here is the list of top 10 highest paying jobs.
Source: HOB5607
This post provides an overview of a small number of widely used data visualizations, and includes code in the form of functions to implement each in Python using Matplotlib.
Source: HOB16131
Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
Source: HOB8694
Data Science is on the rise, both from a company's perspective and from an employee's perspective. This makes data science a great field to get into at the moment.
Source: HOB7461
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Source: HOB20262
Today, we want to outline and compare the most popular and helpful natural language processing libraries, based on our experience.
Source: HOB7473
Python and R are the two most popular programming languages used extensively by Data analysts and Data Scientists. Both the languages are free and open-source and were developed in the 1900s. However, following are some of the reasons which gives Python edge over R that makes it even more popular among the community.
Source: HOB8730
As we know organizations from different domains are investing in big data analytics nowadays by analyzing large data sets to uncover all the hidden patterns unknown correlations, market trends, customer preferences and other useful business information. These analytical findings are helping organizations in more effective marketing, new revenue opportunities and better customer service and they're trying to get competitive advantages over rival organizations and other business benefits. An Apache Spark and Hadoop are the two of most prominent big data frameworks and people often comparing these two technologies.
Source: HOB8280
Data Scientists are big data wranglers. They consider mass and messy data both structured and unstructured and use their formidable skills and organize them accordingly. They use or apply their analytics power to uncover hidden solutions to business challenges.
Source: HOB12558
Whether you're a novice data science enthusiast setting up TensorFlow for the first time, or a seasoned AI engineer working with terabytes of data, getting your libraries, packages, and frameworks installed is always a struggle.
Source: HOB9654
Every company requires different sets of talents, while some jobs require theoretical knowledge; some jobs are based more on your practical knowledge. Same is the case when it comes to getting jobs in data science, getting jobs in data science has it owns unnerving effects. A great portfolio in this case is a good way to showcase your skills what you are good at what your strengths are. This is the best way to show your employers your skills that you have been learning.
Source: HOB4140
AI too has it set preferred language for writing AI. AI has so far achieved biometric intelligence, autopilots for self-driving cars and other applications that required different artificial intelligence coding language for their development projects.
Source: HOB11253
Using Swiftapply, easily apply any function to a pandas dataframe in the fastest available manner.
Source: HOB7884
IoT has already created the hype in the business world. Keeping security and occasional performance issues aside, IoT has already created more productive environments in the business by the year 2025, its direct economic impact on retail, manufacturing, healthcare and other important industries.
Source: HOB4833
Open source platform like Python play an important role in the Machine learning market. Python has a large collection of libraries. The simplicity of python has attracted many developers to build libraries for Machine learning.
Source: HOB14223
Language doesn't mean that this is on 5th position is bad or language is at 1st position is the best language. It's just the classification and giving them the number's.
Source: HOB7224
Solving a complete machine learning problem for the societal benefit
Source: HOB31869
Getting the most from our model, figuring out what it all means, and experimenting with new techniques
Source: HOB11199
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB10887
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB6012
Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.
Source: HOB9081
Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.
Source: HOB15741
To kickstart your career in Machine Learning, you need to ace the interview along with various other job selection processes.
Source: HOB12651
I came across a challenge on Kaggle called PASSNYC: Data Science for Good. Nelson Mandela was right. Education is a powerful weapon as well as one of life's greatest gifts.
Source: HOB6612
In this article you will read about 15 Android applications which can be useful for a data scientist or data analyst.
Source: HOB11439
The popularity of data science, big data jobs in India and globally has leapfrogged over the past five years or so. Its successful run in the industry can be attributed to better research, project implementations and the general growth in big data and data science. These developments have called out for techies trying to make a career in data science.
Source: HOB21354
Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.
Source: HOB110043
Data scientists has taken the spot of the number one job in America, and not only for America Data Scientists, data science jobs are amongst the most coveted careers all around the globe.
Source: HOB5646
Most developers have dubbed Python as the Swiss Army Knife in the data science community. It is easy to understand the reason behind it.
Source: HOB45486
Here is a non-exhausting list of curious problems that could greatly benefit from data analysis.
Source: HOB9978
Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.
Source: HOB10287
Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.
Source: HOB4365
Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.
Source: HOB8322
Advice for young professionals in the non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.
Source: HOB58377
How do you get a job in data science? Knowing enough statistics, machine learning, programming, etc to be able to get a job is difficult. One thing I have found lately is quite a few people may have the required skills to get a job, but no portfolio.
Source: HOB25938
Python continues to take leading positions in solving data science, Machine Learning, Deep Learning, Data Scraping tasks and challenges. Last year we made a blog post overviewing the Python's libraries that proved to be the most helpful at that moment.
Source: HOB59772
Nowadays, there are so many programming languages available in the market, and if you are a beginner in computer programming, you may wonder which programming language is the best to choose and how to start learning it.
Source: HOB98280
Who's on top in usage, interest, and popularity? Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around.
Source: HOB39546
Around Data Science Platforms all of its functionalities like data exploration and integration from several sources, coding, model building are executed. Data science platforms are programmed to train and test models and deploy the results to solve real-life business challenges.
Source: HOB9222
In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with.
Source: HOB6243
There are a lot of computer science graduates and programmers applying for programming, coding, and software development roles at startups like Uber and Netflix; big organizations like Amazon, Microsoft, and Google; and service-based companies like Infosys or Luxsoft, but many of them have no idea of what kind of programming interview questions to expect when you're applying for a job with these companies.
Source: HOB267963
Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don't quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting
Source: HOB62718
Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly. If you work on Big Data, you know if you're using Pandas, you can be waiting for up to a whole minute for a simple average of a Series, and let's not even get into calling apply.
Source: HOB17262
Every trade has their tools and software development is no different. A good programmer knows his tools better than others and also have access to more powerful and advanced tools than an average programmer, but, there are certain tools which you expect every software developer should know and this list is all about such tools.
Source: HOB68796
Assembling all the machine learning pieces needed to solve a problem can be a daunting task. In this series of articles, we are walking through implementing a machine learning workflow using a real-world dataset to see how the individual techniques come together.
Source: HOB35373
If you like a trendy career, you have that opportunity right now and get hired by the big industries. According to the Harvard Business Review, Data Scientists - "The Sexiest Job of the 21st Century". This article talks about the Data Science Courses, Certification, Tutorial and Training for Data Scientists
Source: HOB54831
Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.
Source: HOB4362
Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.
Source: HOB5727
Machine Learning is the very popular technology and its demand is increasing day by day. Now all the organisations are looking for Machine Learning engineers and this is the highest paid profile in the industry. Here we take you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will learn not only how to use them but also how to build them from scratch.
Source: HOB12546
I have split this post into four sections: Machine Learning, Natural Language Process, Python, and Math. I have included a sampling of topics within each section, but given the vastness of the material, I can't possibly include every possible topic.
Source: HOB50415
Machine Learning is the subset of Artificial Intelligence which allow systems to perform the specific tasks. Machine Learning and Data Mining work closely as both search through data to look for patterns basically it detects patterns in data and adjust program actions accordingly.
Source: HOB5268
Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile. Here if you are at beginner level to learn machine learning and artificial intelligence follow these videos as you can gain more insights to start your career.
Source: HOB11403
In Part-1 we have covered how to get started with Machine Learning at beginner level. Here in Part-2 we learn machine learning at two other levels. Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile.
Source: HOB13410
The language's popularity has grown not merely among professional developers-nearly 40% of whom use it, with a further 25% wishing to do so, according to Stack Overflow, a programming forum-but also with ordinary folk.
Source: HOB19563
Python is a versatile language other than the common know use of the language in the big data analytics, python is being used in web and desktops apps to guide system operations.
Source: HOB183681
Python is very popular because of its set of robust libraries that make it such a dynamic and a fast programming language. Python is the fastest-growing programming language in the world, as it increasingly becomes used in a wide range of developer job roles and data science positions across industries.
Source: HOB13872
You can use Quick Code to discover more free programming language courses based on different technology and programming languages. Take these courses to learn programming, web development, front-end development, mobile application development, data science and start learning.
Source: HOB20292
While Java is the most used language for IoT development, JS and Python are close on Java's heals for different subdomains of IoT development. The future of IoT development is likely to remain multi-lingual.
Source: HOB32802
If we all see just few years back that Deep Learning is not much popular but now this is evolving and got equal importance to Machine Learning and Artificial Intelligence. And now deep Learning is used in many applications like Speech recognition, image recognition, finding patterns in a data set, object classification in photographs, character text generation, self-driving cars and many more.
Source: HOB27129
Python is becoming the language of machine learning. Most machine language courses are written using the Python language, and coding education as a whole has adopted Python as the language to learn, with wide use in classrooms, on Raspberry Pi, and elsewhere.
Source: HOB114960
After doing some search and searching for machine learning and data science on the web for hours before writing this article, the most outstanding programming languages related to the topics.
Source: HOB11352
First of all, what is Python? According to its creator, Guido van Rossum, Python is a high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.
Source: HOB46767
According to the Tiobe Index for September 2018, Java, C, and Python are the most popular programming languages in the world.
Source: HOB137523
While Bitcoin and Cryptocurrency may have been the first widely known uses of Blockchain technology today, The blockchain is gaining popularity only because of its security feature. This is the safe and secure ledger which permits all users to record transactions on system so it will be safe, secure and incorruptible. For this they code in the following best programming languages.
Source: HOB21954
Python is one of the world's most popular, in-demand programming languages. This is for many reasons:
Source: HOB44877
A collection of useful mobile applications that will help enhance your Popular data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more.
Source: HOB21738
If you are new to the world of data science and aren't experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python.
Source: HOB10656
Mastering the little things in Python, NumPy, and Pandas for Data Science. here's the stuff that I'm always forgetting when working with Python, NumPy, and Pandas.
Source: HOB76485
If you're thinking of learning Python-or if you recently started learning about Python-you may be asking yourself- What exactly can I use Python for?
Source: HOB44613
Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide.
Source: HOB14454
Machine learning is undoubtedly on the rise, slowly climbing into 'buzzword' territory. This is in large part due to misuse and a simple misunderstanding of the topics that come with the term.
Source: HOB28245
The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms.
Source: HOB6246
We are going to use Python as our scraping language, together with a simple and powerful library, BeautifulSoup. What you need is not access to that information, but a scalable way to collect, organize, and analyze it.
Source: HOB19194
GitHub has published a vast programming language report. its latest State of the Octoverse report, looking at trends in the software development industry.
Source: HOB101685
Data science is interdisciplinary science if data analysis uses statistics, algorithm construction, and technology. With the recent trends in Data Science such as machine learning and artificial intelligence, more and more companies want to invest in a Data Science team to better understand their data and make sound decisions.
Source: HOB3585
Generators have been an important part of Python ever since they were introduced with PEP 255.
Source: HOB20292
With the clock ticking for Python 2 programming language, the cloud storage company Dropbox has detailed why it chose to move to Python 3 programming language and how it made the switch.
Source: HOB9522
Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.
Source: HOB8607
Data Visualization is a big part of a data scientist's jobs. In the early stages of a project, you'll often be doing an Exploratory Data Analysis (EDA) to gain some insights into your data.
Source: HOB12153
Python is a high-level and object-oriented scripting programming language whose popularity has been on a steady rise. It is a general-purpose language that has a wide range of applications. Another reason behind its popularity is the readability and minimalism. A complex instruction can be expressed in a few lines of codes.
Source: HOB24618
If I had done the analysis in R, then I would have had to switch to a different tool to create the website and automate the process, but Python also works well for those things.
Source: HOB15450
Books are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.
Source: HOB16449
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go, a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.
Source: HOB10920
We've all gotten those emails at one point or another. You know, the ones that start with "Thank you for your interest" and end with shattered dreams and self-doubt. Okay, maybe that's a bit extreme. Nonetheless, getting job rejections can be difficult.
Source: HOB6285
Becoming successful as a cybersecurity expert requires diverse skills programming language. An all-around professional can confidently implement and monitor security measures that guard computer systems against attacks and unauthorized access.
Source: HOB11394
If you're looking for a change of pace, learning to code in Python might the way forward. Coding offers different opportunities, good pay, and possibly the chance to work from anywhere on your own schedule. Coding is also one those future-proof jobs; until the machines take over anyway.
Source: HOB34608
Computers are good with numbers, but not that much with textual data. One of the most widely used techniques to process textual data is TF-IDF in Python. In this article, we will learn how it works and what are its features.
Source: HOB7524
While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up on their native language. Just try having a casual conversation in English with German employees at their corporate headquarters canteen
Source: HOB9993
Data Scientist, it is one of the professions that have well paid bucks. But most of the time the paychecks comes down to the programming language know to a Data Scientist, while most of the data scientist have skills for all three languages and probably more, it becomes hard to conclude which pays more and has more value to it.
Source: HOB61398
Working within the Machine Learning landscape and still using the right tools like Filestack can make it easier for developers to create a productive algorithm that taps into its power.
Source: HOB9696
Python is one of the most popular programming languages of recent years. Its clear syntax and readability make it the perfect coding language for beginners. It's forgivable to think that learning Python was essential given its wide usage.
Source: HOB74184
A software security engineer has identified 12 Python libraries uploaded on the official Python Package Index (PyPI) that contained malicious code.
Source: HOB7329
Intel's support of Accelerated Python continues to make it the logical choice for any performance-sensitive Python users (plus it's free!). Intel's distribution is a tuned version of the open source Python we all normally use.
Source: HOB15042
Blockchain development has revolutionized various aspects of technology. It has a wide range of applications especially the ones that involve data storage and manipulation. Currently, blockchain is one of the most-sought technology. Everyone is looking to incorporate it into their products. Just like most technologies, the root of blockchain development is programming languages.
Source: HOB6153
These tips should help data scientists work collaboratively to write good code and build models in a way that will be easier to productionize.
Source: HOB8736
The Python language's two main advantages are its "Simplicity" and "Flexibility". Its straightforward syntax and use of indented spaces make it easy to learn, read and share. Soon Python will be the world's most popular coding or programming language among all the languages. In the past 12 months Americans have searched for Python on Google more often than for Kim Kardashian, a reality-TV star.
Source: HOB11559
Every year, at the beginning of November, an increased excitement can be felt within the scientific world. It's time the year's Nobel Prize winners are announced.
Source: HOB11886
Python has certain use cases and so does R. The scenarios in which they are used vary. It is more often the environment and the needs of the client or your employer which dictates the choice between Python and R.
Source: HOB19815
Python versus Go Programming Language has always been a popular controversy among tech geeks. Python, created by Guido Van Rossum, is undoubtedly one of the most popular languages among data scientists and developers. It is easy, convenient and very flexible with its applications. On the other hand, Google's programming language Golang, popularly known as Go, has the advantage of being expressive, clean and efficient and being dynamically typed.
Source: HOB10377
Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. However, making a dent in the enterprise space is huge challenge.
Source: HOB12201
A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more. Data science and machine learning are evolving with their abilities to transform the world around you.
Source: HOB58158
Thousands of programming languages exist, but there are some trusty ones that developers turn to again and again. GitHub, the startup at the center of open-source software development, tracks these programming trends.
Source: HOB8532
A Small Real-World Project for Learning Three Invaluable Data Science Skills. As with most interesting projects, this one started with a simple question asked half-seriously: how much tuition do I pay for five
Source: HOB12111
I work at a data science mentorship startup, and I've found there's a single piece of advice that I catch myself giving over and over again to aspiring mentees. And it's really not what I would have expected it to be.
Source: HOB21594
The list of the most in-demand programming languages in banking isn't all that much of a surprise. Most every developer can rattle off the first three or four and may even get the order right. However, knowing which ones will be utilized the most in the future is a much more difficult task.
Source: HOB33393
The highest score gaining language is __________ and probably the one you should use for Machine learning. But, again it depends on the type of work and the reason why have you thought about it in the first place. If you are thinking to develop something for the long term, prefer python and if you are looking for developing just a prototype for short-term, R is the right way.
Source: HOB5424
Image recognition is one of the features that is deployed in most modern devices and programs. The feature has a wide range of applications, the most common one being in security systems. It enables devices to recognize the identity of a person or object just by its image. Face recognition is a product of image recognition.
Source: HOB76581
Google DeepMind made their machine learning platform, DeepMind Lab, publicly available. Despite warnings from experts like Professor Stephen Hawking, Google's decision to expose its software to other developers is part of a movement to further develop the capabilities of machine learning.
Source: HOB32454
Deep Learning algorithm is one of the most powerful learning algorithms of the digital era. It has found a unique place in various industrial applications such as fraud detection in credit approval, automated bank loan approval, stock price prediction etc
Source: HOB13989
So the question is Python Vs Ruby. Before we actually make a choice on this, let's just say that there is a lot of talk about this and to an extent you could say that the debate has been laid to rest. However, here in India, apart from the small fraction of people involved in competitive coding or open source contributions, this is still a burning question. Which of these two languages, which is rapidly increasing in popularity, should one learn to get a job?
Source: HOB12138
Python has built considerable buzz in the large-scale web development space, but despite its popularity, it has failed to penetrate enterprise development. In this area, Python is still regarded as an alternative scripting language to Perl.
Source: HOB15666
This quickstart tutorial will get you set up and coding in Python for data science.
Source: HOB47262
Nowadays, one of the most promising topics is Programming Language and AI or Artificial Intelligence. AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition, and machine vision. Because of this, biggest research fields and giant tech company and even startups are working on it.
Source: HOB18171
Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
Source: HOB19134
Books are man's best friend, and for data scientists books on programming language are for sure a friend maybe not the best. This article covers a few books about the R programming language based on different categories.
Source: HOB13185
The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.
Source: HOB7074
The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.
Source: HOB3762
Data Scientists are leaving their jobs, And according to Financial Times it's correct that data scientists usually spend 1-2 hours a week to find good opportunities. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.
Source: HOB8514
Python is one of the popular high-level programming languages used in an extensive variety of application domains. The language was created by a Dutch programmer known as Guido van Rossum and initially released in 1991.
Source: HOB39771
Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we'll be reviewing the essential stack of Python deep learning libraries.
Source: HOB16872
We have listen and read many times that how automation will affect our future. It can be classified into one of two narratives. The first one is that it will definitely lead to a better future, as it always had since the industrial revolution. Of course, some people will lose their jobs, but as history shows, new jobs will be created. And not just new jobs, but better jobs.
Source: HOB11382
The selection actually contains 20 libraries, as some of them are alternatives to each other and solve the same problem. Therefore we have grouped them as it's difficult to distinguish one particular leader at the moment.
Source: HOB8475
You can choose one of the technologies or programming language from this list to learn in 2018 and can switch to a high paying job in 2018 or 2019.
Source: HOB142497
In this Python Interview Questions & Answer Session, I will introduce you to the most frequently asked questions in Python interviews. This list is the perfect guide for you to learn all the concepts required to clear a Python interview. Our Python Interview Questions is the one-stop resource from where you can boost your interview preparation. We have 40 questions on Python Programming and additional 10 MCQs which will help you with different expertise levels to reap the maximum benefit from our list.
Source: HOB63870
Perennially popular programming language Python may be a fan favorite, but can you make a living as a Python developer? More to the point, how is the job market holding up for one of the world's most popular languages? As it turns out, you can't go wrong with Python - and recently, things feel very right.
Source: HOB23601
When approaching any type of Machine Learning (ML) problem there are many different algorithms to choose from. In machine learning, there's something called the "No Free Lunch" theorem which basically states that no one ML algorithm is best for all problems.
Source: HOB15561
Python is one of the world's most popular, in-demand programming languages. This is for many reasons: it's easy to learn it's super versatile it has a huge range of modules and libraries
Source: HOB25326
Hello guys, 2018 is coming to end and 2019 is approaching. This is the time, most of us start making our goals e.g. physical goals, educational goals, and financial goals. As a programmer, one of our goals is to learn new technologies and programming languages, but which languages should you learn? Since learning a programming language requires both time and patience, you should learn a language which is worth the effort i.e. it can reward you a better job and career growth. In this article, I am going to share with you the top 10 programming languages for 2019 as per StackOverflow's 2018 survey.
Source: HOB139683
Reflection is always helpful (and sometimes entertaining ) I wanted to share my first Python program. I initially picked up Python as an aerospace engineering student to avoid spreadsheets and little did I know how good a decision this would turn out to be.
Source: HOB21228
With input from Florian Douetteau, CEO of Dataiku, here are some things you can start doing today to position yourself for a future career in machine learning.
Source: HOB3480
GitHub has identified three features that make a programming language popular in 2018.
Source: HOB5142
Python is awesome! Especially Python 3 with async functionality. But really Go is not giving any chances to survive in enterprise world
Source: HOB7740
Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn R or Python? What techniques to focus on? How much statistics to learn? Do I need to learn coding? These are some of the many questions you need to answer as part of your journey.
Source: HOB30894
If you ever want to be the center of controversy in a room packed with developers, declare that one programming language is better than another. Banners will be raised and battle cries will be heard from various fiefdoms pontificating:
Source: HOB102231
These are a bulk of people pondering the same question that which programming language is best for Machine Learning and exploring different answers but at a hanging stage not knowing which one is correct and which one should they follow.
Source: HOB10191
If you want a programming job in finance right now, you probably need to learn Python: Goldman Sachs is currently advertising around 320 jobs which mention Python, J.P. Morgan is advertising 809. But if you want a programming job in finance in future, you might want to familiarize yourself with a language that's far more niche: Rust. Rust's advocates suggest it will become the next big thing, in time.
Source: HOB11538
There is no doubt that IoT is here to stay. According to a 2018 survey, about 46% of companies are delivering IoT solutions, while 29% plan to deliver an IoT solution in the next 18 months.
Source: HOB53883
Guido van Rossum, a Dutch computer scientist, set himself a Christmas project. Irked by shortcomings in other programming languages, he wanted to build his own. His principles were simple. First, it should be easy to read. Rather than sprawling over line-endings and being broken up by a tangle of curly braces, each chunk would be surrounded with indented white space. Second, it should let users create their own packages of special-purpose coding modules, which could then be made available to others to form the basis of new programs. Third, he wanted a short, unique and slightly mysterious name. He therefore called it after Monty Python, a British comedy group.
Source: HOB71769
DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.
Source: HOB18360
A Python developer can make an average of $107,578 per year. That's pretty good, but many companies aren't looking for a "pure" Python developer they're looking to fill roles that require extensive knowledge of Python, but aren't full-time development gigs.
Source: HOB23394
Firstly, I introduce a bit of theory and then carry out an example of power analysis in Python. You can find the link to my repo at the end of the article.
Source: HOB5535
One of the most important things is to decide what are the best blockchain programming languages and which would be the most beneficial of them for blockchain development.
Source: HOB12507
Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field.
Source: HOB40599
Most popular programming languages like R and Python offer great value in bringing data science and machine learning jobs to successful completion.
Source: HOB16458
If yes, then the first step is to understand the basic terms and their usage of data science.
Source: HOB69078
The most important skill to learn in today's world is to know how to write a computer program. Today, computers have entered in almost every industry. Be it the autopilot in an aircraft or digital speedometer in your bike, computers in various forms surround us. Computers are extremely useful for an organization to scale up well. Gone are the days of pen and paper. Today, in order to store and access your information, you absolutely need computers.
Source: HOB42354
If you have doubt in your mind regarding the future of data science then definitely you are concerned the techniques and tools such as Python, Hadoop or SAS will become outdated or going ahead in a data science course will be beneficial for your career in the long-run or not.
Source: HOB4248
Python is a general-purpose interpreted programming language used for web development, machine learning, and complex data analysis. Python is a perfect language for beginners as it is easy to learn and understand.
Source: HOB57552
Your business may need a dynamic web-based solution, however; the extensive range of options available in the case of programming languages may leave you confused. It is important to understand that selecting a language or a platform in a startup is definitely one of the most crucial decisions. Though there are multiple developmental languages, Python is becoming the most preferred one, especially among startups on account of multiple reasons.
Source: HOB6948
There is a dire need to constantly innovate to protect sensitive information. Here is a list of top Python libraries to dodge and detect cyber attacks
Source: HOB12453
The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.
Source: HOB5592
Growing an audience is an expensive and painful task. And if you'd like to build an audience that's relevant to you, and shares common interests, that's even more difficult.
Source: HOB8877
What Is Python And Why Is It So Popular Now? Python has recently been doing quite the rounds. Well, no this ain't a new language and was developed long back in the year 1991. However, Python has become quite popular these days. This is an interpreted programming language which is being used worldwide to develop websites, algorithms and simplifying the process of automation.
Source: HOB7980
As part of my quest to learn about AI, I set myself the goal of building a simple neural network in Python. To ensure I truly understand it, I had to build it from scratch without using a neural network library. Thanks to an excellent blog post by Andrew Trask I achieved my goal. Here it is in just 9 lines of code
Source: HOB9828
My Python education began with the book Automate the Boring Stuff with Python by Al Sweigart, an excellent application-based book with simple programs to do useful tasks.
Source: HOB21213
Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.
Source: HOB35565
Computer programming is one of the most demanding areas in the tech world. It gives you the power to build software and systems that can solve a lot of real-world problems.
Source: HOB12945
Python is commonly compared to different understood languages like Java, JavaScript, Perl, Tcl, or Smalltalk. Comparisons to C++, Common Lisp and theme can even be enlightening. During this section, I'll shortly compare Python with all those languages.
Source: HOB32421
Recently, Computer Vision is evolving and has climbed into its own federation. Already there is multiple numbers of applications which are widely used and starting with a new is a big progress again. Ideas are being embraced through the concept of open source which is leading benefit for upcoming generations. There are thousands of people having new innovations and techniques which they wanted to share as it do not remain of any use. Face detection technology which upcoming offers you with the excess number of applications in real-world. Using the open source tool, how can you build a proficient face detection algorithm?
Source: HOB12657
Java dominates the top coding languages, but Visual Basic .NET has made a comeback, according to the TIOBE index.
Source: HOB82311
According to Q&A hub Stack Overflow, Python is currently the fastest-growing programming language-and is on track to pull away from the rest of the pack in 2019.
Source: HOB12684
We report on the most popular IDE and Editors, based on our poll. Jupyter is the favorite across all regions and employment types, but there is competition for no. 2 and no. 3 spots.
Source: HOb3636
As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. Data security continued to be a major topic in 2018, particularly as the rash of big data breaches continued.
Source: HOB11457
Python is such a language that can help you develop almost anything. It is a great language for developing backend tools and other kinds of software and artificial intelligence stuff. Let us see why you should try learning python.
Source: https://www.simplilearn.com/mobile-and-software-development/python-development-training2982
Python, the in-demand programming language. This is what everyone is saying. In fact, it is the most recommended programming languages for beginners. Students who are starting their career are advised to start with the programming language called Python. But, why is it so? Why only Python and not other programming languages? What does Python have that makes it so easy?
Source: HOB6288
Big data is getting more and more important in this generation, giving away to big business. Data is easily be stored, analyzed and collected through the big data process. There is a rapid growth in this industry, so the job for big data is also increasing with huge coverage. Either it's a small industry or a huge one, there is a need for a specialist in big data.
Source: HOB10089
There are hundreds of courses available on the internet that you can buy to learn any programming language. But, it's not possible for everyone to pay for online courses because of several reasons.
Source: HOB83196
On the narrow definition of engineering perpetuated by boot camps and other coding initiatives A friend of mine recently recounted an interaction with one of her co-workers. Described as a generally nice guy,
Source: HOB9246
Learn how to code the classic game Tetris using Python and Pygame. This full tutorial is meant for intermediate programmers with some experience, but everyone is welcome to follow along.
Source: HOB13320
It takes time in learning new skills. So before you start learning something you need to have a thorough knowledge that it would be worth or not. When you decide a particular programming language it is necessary to take an appropriate decision. So here are some views about which programming language you should learn in 2019? The new beginning will help to reflect learning which would be leading in the upcoming year.
Source: HOB101181
The majority of artificial intelligence (AI) research to date has been focused on the vision. Thanks to machine learning, and in particular deep learning, we now have robots and devices that have a pretty good visual understanding of their environment.
Source: HOB7872
Enhance Jupyter Notebook's productivity with these Tips & Tricks for data science. Reimagining what a Jupyter notebook can be and what can be done with it.
Source: HOB38760
Q&A sites and data science forums are buzzing with the same questions over and over again: I'm new in data science, what language should I learn? What's the best programming language for machine learning?
Source: HOB21975
Data science needs fast computation and transformation of data. NumPy objects in Python provides that advantage over regular programming constructs like for-loop. How to demonstrate it in a few easy lines of code?
Source: HOB6948
The most common perspective in Python is that it handles all errors with exceptions. An exception is a signal that an error or other unusual condition has occurred.
Source: HOB42153
It is actually a very reasonable question. After all, what's the point of investing a lot of time and effort in learning a new programming language, if it turns out you're never going to use it?
Source: HOB96426
So you've decided to learn a programming language. Good thinking! The need to be code literate for various jobs is increasing. Software developer jobs specifically will increase by 17% according to The Bureau of Labor Statistics.
Source: HOB154026
I am an Android Engineer, and this is my experience working on ML projects with our data scientist.
Source: HOB7722
Java Programming Language Tops Indeed's latest list; Python, JavaScript rank high
Source: HOB12447
Learning new skills takes time, that's why, before learning one thing, you wish to understand that what you're learning goes to be worthy. This can be notably true once deciding that artificial language to be told. As we tend to approach the year, it's an honest time to replicate on our prime learning priorities for 2019. Want to learn a new programming language?
Source: HOB9039
Control Flow, Functions, Object Orientation. The for loop in Python has the ability to iterate over items of any sequence such as list or string.
Source: HOB25830
Machine learning is developing with a huge growth these days. There are multiple open source tools available which make the application easily. Most of the frameworks of machine learning are fed by a Python programming language, JavaScript is also not lagged behind.
Source: HOB14739
In the course of recent years, users have doubtless seen quantum jumps within the quality of a good scope of normal innovations. Most clearly, the speech recognition functions on our cell phones work far better to something they want to. After we utilize a voice direction to decision our mates, we have a tendency to contact them currently.
Source: HOB12696
We know you are welcoming 2019 armed with resolutions. It has always been and will continue to be important for us programmers, to stay updated, challenge ourselves, and improve our skills. Don't give into stagnation and demotivation!
Source: HOB54933
If you're brand new to the world of programming language coding and web development, it makes sense to start by teaching yourself using all the free programming language coding resources online.
Source: HOB33615
In the past, there was a bit of a debate in the coding community about which Python version was the best one to learn: Python 2 vs Python 3 (or, specifically, Python 2.7 vs 3.5).
Source: HOB28257
Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT culture as it does the qualities and characteristics of the language itself. But when it comes to big data, there are some definite patterns that emerge.
Source: HOB27837
There's most hype concerning frontend technologies like Vue.js, AngularJS, ReactJS within the web development domain, it gets straightforward to ignore the backend. Normally, users are additional doubtless to note what is served before their eyes and not observe of what goes behind the scenes. Backend web development involves the part of coding that isn't seen by the user. Most often, backend web developers are liable for the code behind juggling data to and from the frontend.
Source: HOB18324
There's so much hype about frontend technologies like Vue.js, AngularJS, ReactJS in the web development domain, it gets easy to ignore the backend.
Source: HOB29424
The increasing demand for experts in machine learning during the last few years has increased curiosity to know the programming languages which one can use in machine learning.
Source: HOB55674
Natural Language Processing is the ability of a computer program to get understand the human language and it is the component of artificial intelligence. Now it is very important to learn this concept and following are the courses through which we can gain insights and learn this concept thoroughly.
Source: HOB19533
The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.
Source: HOB7509
This programming language R is developed in 1993 and was R was conceived by professors Auckland University Ross Ihaka and Robert Gentleman. R language has methods of statistics and graphics. And these methods also comprises of the machine learning algorithm, time series, linear regression, interferences of statistical and many more.
Source: HOB26208
In 2018, I invested a good amount of time in learning and writing about data science methods and technologies.
Source: HOB4989
In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with the newest methods or to more effectively collaborate with coworkers.
Source: HOB8949
All professionals I'm sure looking ahead to a new start and want to increase their data analysis skills. So here is the collection of books through which data scientist can sharpen up their knowledge and skills.
Source: HOB8529
Some Ebooks which will give enhance your knowledge for free in deep learning, Hadoop and DataViz. Here you have some links to get these free EBooks.
Source: HOB17628
Get started with python popular language or buff up on your coding skills with this curated book list.
Source: HOB64899
If you plan to start learning machine-learning models then you'll need a reasonably deep knowledge of math, spanning linear algebra, calculus, and statistics. But for beginners in the field, learning the basics of programming and getting to grips with a language like Python, which is commonly used for machine-learning tasks.
Source: HOB16737
Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.
Source: HOB15618
Which languages are catching the eye of new devs, and which are failing to grab their attention? There's fresh evidence that Python is attracting new learners faster than any other programming language.
Source: HOB54027
With more than a hundred programming languages in use today, only a few of them can change the trajectory of your career.
Source: HOB8493
How to make great-looking, fully-interactive plots with a single line of Python. The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey.
Source: HOB8898
Data Analytics tools, latest technologies, and programming languages are required by data science which helps the data scientists to gain meaningful insights and value from the data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL, and R are the most popular programming languages. The most popular programming language was Python 83% used. 3 out of 4 data professionals recommended Data Scientist should learn Python programming language.
Source: HOB109866
When it comes for choosing a book then we are always confused o what should we choose? What will be the better guide for your learning? Will the beginners guide be too easy? So here are few books which will help you find the leading learning guide for your better career.
Source: HOB9795
Python Certification is the most sought-after skill in programming domain. In this Python Interview Questions blog, I will introduce you to the most frequently asked questions in Python interviews. This blog is the perfect guide for you to learn all the concepts required to clear a Python interview.
Source: HOB28749
There are numerous tools that exist within the Java world, ranging from a renowned day like Eclipse, NetBeans, and IntelliJ plan to JVM identification and observation tools like JConsole, VisualVM, Eclipse Memory instrument, etc. This article comprises of general tools, that are applicable to each reasonably Java developer, e.g. each core Java and net developers.
Source: HOB7644
As requested, I'm publishing this guide for those wishing to choose between Python and R Programming languages for Data Science. You may be new to Data Science or you need to pick one choice on a project, this guide will help you.
Source: HOB87396
Data engineer may be a comparatively new position that is a hybrid of types between a data analyst and a data scientist. Whereas information scientists are reception making and standardization refined machine learning models and alternative kinds of analysis, data engineers shine at manipulating huge amounts of data and guaranteeing the complete huge data code stack will scale to support large workloads.
Source: HOB14994
Python is the programming language amongst all which is gaining popularity the most. People interest shifted towards Python and all are learning this language. I learned HTML and CSS however, currently, I'm trying to find a language that I will use for more than internet development.
Source: HOB5130
Today, the most desirable career option seems to be a data scientist and machine learning, as every individual either it is a college-going student or a professional is looking to switch their career onto data science.
Source: HOB4308
Businesses need to learn these languages today, and employees can find great jobs by becoming fluent in them. If you want to survive in this automated, globalized economy, you should understand programming, and there are no shortage of coding schools and websites where you can learn. But software development is a constantly changing field, and languages high in demand a decade or even five years ago can fall into irrelevance.
Source: HOB120498
Up-and-coming language Julia programming language is gaining momentum with programmers, according to its creators.
Source: HOB46593
While you are a programmer, it is not necessary that all you know is about coding. You should also have the knowledge of the books or have the habit of reading. And it is known that books are a great source of knowledge. Here you will get information about many things other than programming that might help you for becoming a better programmer.
Source: HOB4452
While you are a programmer, it is not necessary that all you know is about coding. You should also have the knowledge of the books or have the habit of reading. And it is known that books are a great source of knowledge. Here you will get information about many things other than programming that might help you for becoming a better programmer. So here is the list of popular 10 books which every programmer should strive for reading these books.
Source: HOB553785
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++.
Source: HOB30759
This video will show you the top four programming languages to learn in 2019 to get a job without a college degree. The way that I've ranked these languages they are based on three things number firstly, the time it takes even an absolute beginner to go from complete zero and ultimately getting a job without needing a college degree, Job Market: now this is the most important one you guys this is what you're here for the salary and how much money are you making? Productivity: how fast can you go from conception of an idea to a completely coated application that another person can use.
Source: HOB15783
Here is a video where you will get to know how to learn deep learning in six weeks. What is the next rocket science in one week? This video will help you learn the art of deep learning and the only prerequisite is knowing basic Python. By the end of this curriculum, you'll have a broad understanding of some of the key technologies that make up deep learning. You might be thinking why deep learning without machine learning. Machine learning is a broad set of algorithms used to derive insights from datasets.
Source: HOB23022
Learning a new language is no easy task, and for programming languages, it's no simpler.
Source: HOB11937
There is huge material for the people who are interested in the machine learning with python. As we moved to the new year 2019, it is a good time to again visit the concept and get the way for the new learning path for mastering machine learning with Python.
Source: HOB99561
Cloud engineers professionals responsible for assessing a business's infrastructure and migrating different functions to a cloud-based system are in high demand, as more companies move critical business processes and applications to public, private, and hybrid cloud infrastructures.
Source: HOB93102
How to get started in machine learning? Python is here because if you are new to machine learning and new to programming then Python would be a really good choice. But really machine learning is all about math so if you already know another language does not worry about learning Python do it in the language that you already know.
Source: HOB45681
How you will feel different in 2019? Everybody thinks about it twice. Well, if you are willing to dive in a career in tech and you have the ambition for learning, you are recommended to focus on these 5 career choices, it will take you to reach heights and your invested time and money would be worth.
Source: HOB4668
How to learn to code? Best resources available online? How to choose a personal project to work on? Thoughts on getting a computer science degree or going to coding boot camp!
Source: HOB8610
One of the hardest questions will face is when you start tackling programming, is what language should I learn first. Let us talk through some of the concerns that you might have, it feels like if you choose a language that you are making a final decision about what you're going to be doing for the rest of your life.
Source: HOB55524
This is going to be an ambitious video as here ten languages are discussed just to give you an overview because people are always asking. What do you think of this? What do you think it would even use C++? What do you think of C? What do you think of prepped Python? Where do you think of Ruby? What do you think of sleuth?
Source: HOB19962
Your Ph.D. degree is a good opportunity for introspection and equally, your past experience or failures also gives you a good lesson that how you can improve. Learnings involve our all discoveries, mistakes, skills, and projects to make our future bright. We should not regard our past as an immature period but as an unfolding story.
Source: HOB6993
There are hundreds of courses available on the internet that you can buy to learn any programming language. But, it's not possible for everyone to pay for online courses because of several reasons.
Source: HOB30792
Developers are the main tech professionals in the organization with increased demand and talent shortages leading to large salaries for many of those in the field. Software development is a dynamic field, in which new programming languages, frameworks, and technologies are included and this job needs constantly change.
Source: HOB6924
The fine must have skills to become a Machine Learning Engineer are explained well here which may benefit you for making your future safe.
Source: HOB20208
Job postings for cloud computing and cloud engineers have risen 27% in the past two years, according to Indeed. AWS, Python, and Java are the most in-demand skills for cloud computing roles
Source: HOB8784
If you want to become a freelancer in programming or if you want to be a freelancer developer, which language should you learn? This is a question many people get all the time! And there are many who keep answering it from different points of view.
Source: HOB29175
Books which are for free and helps you in you to build your career well.
Source: HOB36516
People are a little bit confused that which programming language they should learn and they follow. The answer is also difficult that which one should be ranked one so that everyone can focus on the languages. Here are programming languages used for machine learning according to my personal experience as a programmer.
Source: HOB17856
The coding languages student developers know don't always line up with what organizations need, according to HackerRank.
Source: HOB121953
Artificial intelligence and machine learning are in buzz these days and more and more people are interested to learn about it. It got a major breakthrough when Google made AI history by creating an algorithm that mastered Go. And the technological advancement is creating more jobs as companies need high-skilled AI talents to develop and maintain a wide range of applications.
Source: HOB6648
If you are a beginner or willing to move in the field of machine learning and artificial intelligence, do not forget to go through these sites as you will grab a lot from it which will be worth for your career.
Source: HOB5892
sdfadsfsadfsadf
Source: HOB1614
In this video, we will discuss how to you select a technology for your future. A few years back, you know it was very easy to select a technology because we were having limited options. We were having cloud computing, then we were having Android development, then we were having web development and then things were a bit easy.
Source: HOB16002
We are going to talk about the top five programming languages to learn about getting a job at companies like Google, Facebook, Microsoft, etc.
Source: HOB18795
Importance of framework in programming languages is best and that's the one and only one reason that our phone's operating system doesn't come pre-installed with all the applications on the app store. Frameworks are built with different dependencies. Some frameworks require very specific versions of other libraries, which may be incompatible with the library versions used by another framework.
Source: HOB26217
This video will tell you about data scientists and jobs that fall in that category and how much money they make with the barrier of entry is. How many jobs there are? What the growth is for that category of a job?
Source: HOB5895
There are in total three various elements which allow the interaction of multiple programming languages and data is provided to the end user.
Source: HOB76083
In a 2017 business research article IBM predicted that the need for Data Scientists will increase by 28% by 2020, with nearly 3 million job openings for Data Science professionals.
Source: HOB98952
People waiting to learn python have the option as Mike Dane created this in-depth video course for Python. There are several programming languages but Python is the priority of every individual.
Source: HOB16392
A career in data analytics is not only concerned with learning Python or Hadoop, but it also takes into consideration various skills
Source: HOB12408
According to the Modis report, employment opportunities in the Tech domain is forecast to increase by 12% by 2024, which means Software Developers, IT professionals are about to climb up their ladder of lucrative job offers soon. With the hope of new positions opening in the space of web development, cybersecurity and mobile app development, the competition for software engineers to claim the dream spot will also increase.
Source: HOB16350
Want to learn a new programming language coding but don't know where to start? Here are 10 options for those looking to learn to program.
Source: HOB15762
While on one hand, various new technologies and programming languages are getting into the limelight for making the different development processes more efficient. Whereas, on the other hand, many existing web and app development technologies are disappearing from the graph.
Source: HOB23274
There are several programming languages like Java, C++, Python, and so forth. Due to higher demand, it is really easy to learn common languages, but there is a drawback in it, as there are many who are learning that language which brings up a higher level of competition and it becomes tough to command the highest pay rates.
Source: HOB9045
Nowadays, one of the most promising topics is AI or Artificial Intelligence. AI is the simulation of human intelligence processes by machines, especially computer systems.
Source: HOB8478
In your first programming class, you were probably introduced to the idea of a compiler. Heres how it works? You first write out your program but a computer can't read it yet. So in order to actually run your program, you first need to pass it through this special program called the compiler. Then out pops a new version of your program that can be read by a computer.
Source: HOB6564
There is significantly less job demand for data engineers proficient in R than those proficient in Python, according to a Cloud Academy report.
Source: HOB92568
For coding, there have always been books which are available around. Books are given less importance if we see in terms of online coding training, but it has a more positive impact on learning and is more effective. In books, we even have a variety of choices.
Source: HOB6051
Julia Computing, an organization set up by the programming languages creators, has spelled out how it plans to use that success to propel Julia into the enterprise and larger organizations.
Source: HOB7158
Online classes help you to build your resume, and there are several cases in which many people have made a transition from a marketing role to a tech role and made them much more marketable in a job market where tech rules.
Source: HOB5619
The number of job postings seeking software developers, Programming Language Programmers in January 2019 rose 59% year-on-year to 79,900.
Source: HOB10860
If you are interested in pursuing a career in AI, Machine Learning and don't know where to start, here's your go-to guide for the best programming languages and skills to learn, interview questions, salaries, and more.
Source: HOB63363
The name itself sounds interesting. Right? Well, there are many interesting things that you need to know about the Python programming language. Some of them can be helpful while other facts are of less importance. Anyway, here are 10 interesting facts about Python programming.
Source: HOB55287
Let's assume that one day you aspire to work at Google as a programmer or developer. What is the first question that you will ask yourself? The most obvious one is, which programming languages does Google use internally?
Source: HOB192705
Java developers were among the workers who enjoyed the fastest-growing salaries in the US during 2018, according to recruitment site Glassdoor.
Source: HOB155016
Blockchain-based skills platform BitDegree has unconventional plans for connecting tech talent and recruiters python language.
Source: HOB19335
Python breaks into the top three programming languages in the Tiobe Index for the first time. The popularity of Python shows no sign of waning, with the programming language entering the top three in the Tiobe Index for the first time.
Source: HOB117762
How do I get started with machine learning? This video is a three-month guide which will help you go from an absolute beginner to proficient in the art of machine learning.
Source: HOB11685
The 10 programming languages associated with the highest-paying jobs all earned developers an average salary above $100,000.
Source: HOB93177
If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.
Source: HOB6426
The TIOBE Index of popular programming languages singles out the one language whose use grew faster than all others in 2018.
Source: HOB4038
Here's why there's never been a better time to delve into the C++ alternative Rust. Rust is a programming language that offers the performance of C and C++ but with safeguards to stop developers shooting themselves in the foot.
Source: HOB11103
There is no doubt that Java is one of the most popular programming languages. It is a very powerful language that has a wide range of applications.
Source: HOB4668
We are living in an economy which is completely data-driven. Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.
Source: HOB7608
While Python regularly polls as the fastest-growing programming language, JavaScript is consistently the most popular.
Source: HOB4146
Companies are seeking developers with strong programming language skills rather than traditional education, according to a Triplebyte report.
Source: HOB12207
Machine learning is one of the most promising career paths one can pursue. The career entails building systems that can act autonomously without being explicitly programmed or closely supervised.
Source: HOB32073
Few courses will help you in utilizing your weekend. If you have interests in machine learning these courses will be of more importance to you and you will be more advanced with the knowledge of machine learning with these courses.
Source: HOB5742
So today this video will give you a glimpse of the top three programming languages. Top to be the easiest programming languages to learn and the reason why?
Source: HOB4260
Online code repository GitHub has pulled together the 10 most popular programming languages used for machine learning hosted on its service, and, while Python tops the list, there are a few surprises.
Source: HOB33783
Java dominates the top programming languages, but Visual Basic .NET has made a comeback, according to the TIOBE index.
Source: HOB7329
Enhance your career with these tutorials in data science, they will give you the whole concepts and the courses for beginners as well as data scientists.
Source: HOB3855
The industry of computer science is flourishing in the global world, and the best aspect is it pays off excellent. Here is the list of most popular and rewarding web programming languages that you can go for.
Source: HOB14949
There is too much explosion in the generation of the data in every major industry all around the world, and the demand of skilled workers if very much as they need professional workers to handle that huge data for solving certain problems and this profession has an unpredictable growth in recent times.
Source: HOB3930
Master Multiple programming languages with different books which will enhance your knowledge and teach you the techniques of Learning programming languages.
Source: HOB4827
There is no such thing as the best programming language in artificial intelligence, it all depends on the functionality of the artificial intelligence application that is desired for the development.
Source: HOB8592
I am new in data science, what language should I learn? What's the best programming language for machine learning?
Source: HOB18615
PowerShell has entered the TIOBE index top 50 coding programming languages. Here's why.
Source: HOB5790
On Coderbyte we offer over 70 easy difficulty programming language code challenges that are perfect for beginners who are learning to code and need some way to practice.
Source: HOB8799
Python Programming Langauge is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability.
Source: HOB163464
Building robust web apps quickly is very difficult, time consuming and resources consuming. Each web app development programming languages and frameworks has its own disadvantages.
Source: HOB8664
The usage statistics posted on several websites depict that Python programming language is currently more popular than R. However, Python is a general-purpose programming language.
Source: HOB6981
According to the latest TIOBE Programming Language Community Index, Python is one of the top 10 popular programming languages of 2017. Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites, and web applications.
Source: HOB55749
C++ was developed by Bjarne Stroustrup in the 20th century and since then it has been one of the favorable choices of any programmer to code in the language.
Source: HOB10878
The need for a Data scientist has grown enormously which in turn has resulted in an increasing demand for Data scientists.
Source: HOB10941
Communication skills play a vital role in growing a career in Data Science.
Source: HOB5190
Arguing about which programming language is the best one is a favorite pastime among software developers. The tricky part, of course, is defining a set of criteria for best.
Source: HOB10686
Apple's Swift programming language for developers building iOS apps is now the 10th most popular programming language, while Python has dropped out of the TIOBE index's top-three rankings.
Source: HOB8040
Online learning is beneficial for every student as well as professionals. Here are some foreign universities offering you some courses to enhance your knowledge in Python programming Language.
Source: HOB5007
Data visualization is nothing but presenting your data in a graphical or pictorial form, which is obviously easy to understand.
Source: HOB3192
Want to earn a decent wage and boost your chances of getting a job as a programming language programmer in 2019? Then learning Kotlin and Java looks a sensible choice.
Source: HOB6084
Before getting started with any programming language, it's important for you as a learner to know What is the importance of learning any programming language.
Source: HOB67230
Python has cemented its place among the top three most popular programming languages, having seen the largest rise of any language in Tiobe's search engine based rankings.
Source: HOB33195
Younger developers are falling in love with older programming languages, while older developers go gaga for options like Google's Go.
Source: HOB16530
So here in 2019, you can expect to earn good and hired as a developer with a good pay scale. If so, then you would prefer some very advancing popular programming language.
Source: HOB128352
Some events to attend in March 2019 related to machine learning, artificial intelligence, and deep learning.
Source: HOB5400
Machine Learning has a growing career with nearly every of the IT, Financial, Healthcare using Machine Learning to solve bigger issues and challenges.
Source: HOB13053
Facing an interview is really scary to many of the candidates.
Source: HOB3681
Coders tend to take their programming languages very personally and in their battle to prove the dominance of their favorite language, the security card is often brought up.
Source: HOB12816
Working as a Data Scientist you will analyze data sets which are more complex and large in number as compared to a Data Analyst job.
Source: HOB9876
Some books will enhance your knowledge of learning with multiple key points.
Source: HOB6174
A Data Scientist is an expert in using some tools which are very helpful in analyzing big data sets.
Source: HOB8238
I have been working through an online data science course titled Python for Data Science and Machine Learning on Udemy Oh God, I sound like that guy on Youtube.
Source: HOB4623
In this crash course, you will discover how you can confidently get better performance from your deep learning models in seven days.
Source: HOB24090
The Graphics supported by R and its statistical features are considered better than SAS.
Source: HOB5412
Here are some online courses which will give you more of data science knowledge and help you build a lucrative career.
Source: HOB4512
We are here to provide you a list of 5 books which will play a key factor in honing your skills in Data Science and Machine Learning and sets you apart from your competitors.
Source: HOB6132
Some books enhancing your deep learning studies and making your future learning more deep and meaningful.
Source: HOB4542
The most important programming language skill to learn in today's world is to know how to write a computer program. Today, computers have entered in almost every industry. Be it the autopilot in an aircraft or digital speedometer in your bike, computers in various forms surround us.
Source: HOB8829
The role of a Data Scientist depends most on the organization he is working on.
Source: HOB4098
Here are some machine learning courses which will help you to begin your career at an earlier stage of learning.
Source: HOB15339
Programming for computers may not be more in demand, but coding is most widely in demand within many industries.
Source: HOB88953
There is a tremendous amount of data which is generated by every business on a daily basis. The rise of the internet and the introduction of social media platforms have led to an additional spike in the amount of data generated.
Source: HOB7080
LinkedIn is a very good place for the professionals to gather, connect with others, share ideas and network. If you are in a Data Science or predictive analytics space, or if you are seeking for additional insights and what all industries are talking about, for all these LinkedIn professional groups are a great place to start.
Source: HOB5067
Stack Overflow has released the results of its annual survey of 100,000 developers, revealing the most-popular, top-earning, and preferred programming languages.
Source: HOB13989
So if you are willing to start with machine learning you need to keep in mind two basic things.
Source: HOB19503
There are various online courses that will help you in developing a good understanding of NLP, some of the best I have listed down here.
Source: HOB15081
C and C++ is a language which is not often used in your profession but it will give you a lesson for a lifetime.
Source: HOB22041
In many of the cases, aspirants do not know about the responsibilities each position carries. I have discussed two such roles here, Statisticians and Data Engineer which are confused a lot by the aspirants.
Source: HOB9720
Python is one of the most popular programming languages of recent years. Its clear syntax and readability make it the perfect coding language for beginners.
Source: HOB40257
WhiteSource review of programming language security errors reveal which languages have the most security holes. The winner? C. But that's only the start of the story.
Source: HOB26664
This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.
Source: HOB5955
These Books has been thoroughly revised and updated to stay current with advances in programming languages.
Source: HOB6252
Here are most in-demand tech jobs of 2019, according to recruiters and career site experts.
Source: HOB3636
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline
Source: HOB3900
No surprise there are a lot of people who want to get into chatbot development.
Source: HOB3603
So it is a mix of programmatic and business concerns about each of the programming languages.
Source: HOB4299
Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.
Source: HOB4446
Many would assume it's the United States. After all, the United States is the home of programming language luminaries such as Bill Gates, Ken Thompson, Dennis Ritchie, and Donald Knuth.
Source: HOB62874
Here are the most-loved programming languages and what developers can expect to earn by knowing them.
Source: HOB6657
Some courses which are free from edX and will make your learning more influencing and interesting.
Source: HOB3942
Which Programming Language most of the hackers use? So, here we can see that hackers use multiple languages.
Source: HOB9546
If you are willing to learn how to program from scratch it's a good idea to think about why you want to learn to code in the first place.
Source: HOB3735
Data Science is all about working with Data and SQL is the key to unlock the insights out of that Data.
Source: HOB3894
People often argue about which programming language is superior, PHP or Python.
Source: HOB16080
Some books to master programming languages and become a good programmer.
Source: HOB4350
This article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.
Source: HOB3858
The good point about these resources is that they are readily available online and are free to be used.
Source: HOB11175
See the major difference between the sub-categories of data science, machine learning, and big data.
Source: HOB3324
Are you thinking that from where would you learn Python Programming Language? So here are multiple resources to go through.
Source: HOB5184
Like every year, on programming languages, a detailed report is created for the languages one should not learn in 2019.
Source: HOB7479
Books are always the best sources to explore while learning a new thing. Reinforcement Learning has finds its huge applications in recent times with categories like Autonomous Driving, Computer Vision, Robotics, Education and many others. Here are some best books on Reinforcement Learning that you can easily find on Amazon
Source: HOB10140
A Business Analyst is often confused with a Data Scientist. So I have written this article to clear out the differences between the two with the help of clear bullet points.
Source: HOB3834
As a learner in Data Science I also faced huge difficulty in deciding out the best online resource for me. It was frustrating at the starting and there were times when amid confusions I gave up.
Source: HOB12966
Hiring at Google are on some particular basis, so here is a brief introduction to what Google looks for while hiring a Data Scientist. Through these tips, you can easily prepare yourself with the interview for a data scientist.
Source: HOB6048
Some books, courses, and tutorials of machine learning for beginners which can help them to begin their journey with in-depth knowledge.
Source: HOB6471
Sometimes its good to analyze oneself. Sometimes its good to know the reality that whether you are a good fit for your job or not. Make sure your communication is all not holding you back from being a Good Data Scientist.
Source: HOB3444
Internships are a great way to kickstart an individuals career. With the right opportunity at the right time, it becomes the starting point of one's fruitful career.
Source: HOB7971
IoT development is rapidly expanding, but concerns around security and connectivity remain, according to an Eclipse Foundation report.
Source: HOB4296
Python Programming language should be on the tips for beginners and professionals.
Source: HOB11241
Because we are humans and have more inclination towards visualization and interaction, learning from videos is the best thing that we can do to ourselves. For this regard I have come up here with the 10 most popular YouTube videos on Data Science to kick start off your career in Data Science.
Source: HOB9111
Becoming a Machine Learning Engineer in a top company like AMAZON is a dream of every Machine learner. While it seems hard to crack interviews at amazon, with the right set of skills one can easily land up as a machine learning engineer in the company.
Source: HOB3630
Do you want to start a career as a blockchain developer? Or maybe you simply want to create your own Joecoin just for fun? In any case, you need to know a programming language. Tune in to find out the best options available!
Source: HOB5085
The future of Machine Learning is bright and if you have really thought over of getting your career started in Machine Learning than I must say -" You have made the right choice for your future". Here I have arrived with some of the most important points you need to successfully start your career.
Source: HOB8454
Many of the learners quits their first programming language after their some unsuccessful attempts and make a diversion in their career. This is for the reason I decided to write an article for anyone who is on the difficult terrain of learning a programming language and want some guide to help him out in tackling the challenges faced in Programming.
Source: HOB121701
While there are many resources available online providing courses for TensorFlow picking a right one is always a difficult and confusing task for learners. To free you on that part, I have come here with the best online resources on TensorFlow that I have personally found useful.
Source: HOB7206
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
Source: HOB3684
Here are some books for learning some famous programming languages like Java, C++, C and many more.
Source: HOB18267
If we see, the demand for programming languages skills like Java and PHP is increasing day by day and the salary offered is also rising rapidly.
Source: HOB3363
This bundle helps you dive in, with over 400 video tutorials on machine learning and data science. The lessons show you how to build machine learning algorithms and neural networks, using popular frameworks such as TensorFlow and Keras.
Source: HOB4107
Chatbots are of immense importance in the present times where using chatbots majority of the tasks in the companies like promotional campaigns, branding, customer services and queries are easily handled using chatbots.
Source: HOB4491
The latest release of PyPy boosts the performance of the already fast Python interpreter.
Source: HOB3018
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python talks about the differences and relationship between AI, Machine Learning and Deep Learning.
Source: HOB5478
Diversion is the easiest option you could do after your first or many rejections in Data Science interviews but standing positively all over again and trying to crack the next interview in the next chance is the best thing you can ever do.
Source: HOB4713
IPL (Information Processing Language) was the first language developed for artificial intelligence. The language included features to perform general problem solutions.
Source: HOB5373
With regard to a Data Scientist apart from the soft skills and the business acumen technical skills also becomes a very important part.
Source: HOB4134
This article is intended to provide you the necessary details on the best online courses on tensorFlow.
Source: HOB4173
Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
Source: HOB4104
If you are a novice and keen to learn about IoT and several of its applications that it can provide to the business and the society than you do not have to worry for the resources to learn from because books that are mentioned in the present article are best to learn from.
Source: HOB7893
As we have seen in earlier lessons, Python is very easy to code. Compared to other popular languages like Java and C++, it is easier to code in Python.
Source: HOB17496
Here are some of the data science courses which are provided online globally with online certificates and lectures are provided according to your feasibility.
Source: HOB4233
If we will look at the job description of the majority of the companies for Data Scientist or Machine Learning Engineer, Programming in Python will be the one skill set that will be common in every description. Because of so much demand for Python today, it has become essential for any enthusiast in Machine Learning or Data Science to be skilled in working in Python.
Source: HOB5952
If you really want to know the demand of data science, this article will give you a complete check of who is a data scientist and the future jobs of a data scientist with a pay scale in the near future.
Source: HOB3495
These videos will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP.
Source: HOB5568
Software development continues to be a major source of revenue and growth for businesses of all sizes. The international market for software is currently worth more than $7.5 billion and is predicted to continue to grow well into the future.
Source: HOB60423
Some of the job roles in IT are so interlinked that it becomes difficult to segregate them often. The role of a Programmer and a Software Developer fall in that category. In this article we will try to clear this big confusion and will take you in depth of the responsibilities handled by both and the differences the two of the roles carry.
Source: HOB4707
Here are some videos of machine learning frameworks which are divided into 3 parts.
Source: HOB3555
The set of algorithms and models that the computer uses to perform complex tasks without the intervention of any human is referred to as Machine Learning. Machine Learning makes computer system appear intelligent like human beings.
Source: HOB3543
The reason why many of the data scientists position remains vacant today in spite of a number of candidates applying for the position is the "lack of skills". According to a study conducted by Great Learning, 97,000 analytics and data science positions remain vacant in India due to the dearth of the skills.
Source: HOB5166
Deep Learning has become the most debated topic of the 21st century. A lot of students and professionals are really interested in learning Deep Learning.
Source: HOB3327
As adoption of AI and machine learning increases amongst businesses, the number of software tools for developers has also grown.
Source: HOB3522
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.
Source: HOB2475
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.
Source: HOB4392
Programmers should be aware of the top programming languages that they should learn.
Source: HOB4347
There are a number of online resources that have emerged today to teach learners the various concepts and things related to Data Science that it is a bit confusing to get started with any.
Source: HOB4059
In this article, we will look at the best YouTube Channels that a learner must follow for Machine Learning.
Source: HOB8529
Q&A sites and data science forums are buzzing with the same questions over and over again: I am new in data science, what language should I learn? What's the best language for machine learning?
Source: HOB8688
Here are few ways to improve from a Junior or Mid-level Python developer to a total coding rockstar.
Source: HOB116970
Some books which will help beginners and professionals to boost up their Programming knowledge.
Source: HOB3465
Pay for some key tech roles is outpacing others, but one big job has surprisingly seen salary decline. Salaries for in-demand programming skills including Java and PHP are rising rapidly.
Source: HOB3864
Here in this article, we will discuss the comparison between Python and R language, and pros and cons between R and Python Programming Language.
Source: HOB3594
Python is a programming language developed by Guido van Rossum. It is a dynamically typed language with very high-level data structures. Here are some features of Python Programming Language.
Source: HOB5100
The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.
Source: HOB4473
Big Data demands a cost-effective, innovative solution to store and analyze it. Hadoop is the answer to all Big Data requirements. So, let's explore why Hadoop is so important.
Source: HOB3324
Some books which will help data scientist to build their career with these famous Data Science courses.
Source: HOB3972
These Books guides you through the process of creating and managing a public cloud and virtual network using Microsoft Azure.
Source: HOB3492
Not sure which course you are referring to in particular. The general basics required for machine learning are here.
Source: HOB3489
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Here are some courses which will make you aware of everything about this technology.
Source: HOB4578
When you start learning coding and web development, the number of different programming languages can easily feel daunting and overwhelming. In this post, you'll learn about different programming languages and their uses to help you find the right programming language to learn.
Source: HOB126183
A data scientist is integral to an AI or ML process, in the sense that all of these projects are depending on big data or complex inputs. The data scientist is the essential careerist who knows how to work with data to produce results.
Source: HOB5814
Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.
Source: HOB6765
Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work.
Source: HOB4185
Without a College Degree. How we're gonna rank these programming languages from number five to number one is based on three things.
Source: HOB145839
C++ is a programming language that was developed as an extension to C. The main features that were added were object-oriented programming tools and the enlargement of the standard library.
Source: HOB3084
Machine Learning is invading this world gradually and gradually. If we can develop a driverless car then it is Machine Learning.
Source: HOB3759
What are some of the most popular data science tools, how do you use them, and what are their features? Here are some specializations which will give you a glimpse of data science study.
Source: HOB3189
This is one of the most frequently asked questions about the world of ethical hacking. Do you need to learn how to program to become a penetration tester? The answer would be "You are NOT going to be a good hacker."
Source: HOB4818
The Python programming language may be hugely popular among developers but sharing a Python app with your average computer user is still tricky.
Source: HOB3201
By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.
Source: HOB3033
Data visualization plays an essential role in the representation of both small and large-scale data.
Source: HOB3294
Apache Spark is the latest data processing framework from open source. It is a large-scale data processing engine that will most likely replace Hadoop's MapReduce.
Source: HOB2928
As you can see that PubG is the most top-rated game across all the platforms having 2 million daily users all over the world.
Source: HOB15783
Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.
Source: HOB3654
Lots of students have been a success with getting their first job or promotion after going through these courses.
Source: HOB3183
Data is growing faster than ever. With the proliferation of the internet, we now generate even more information.
Source: HOB2931
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
Source: HOB3006
In this article, you will get to know some of the best frameworks to get you started with AI development.
Source: HOB3681
Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.
Source: HOB5232
It's easy to start coding with Python, which is why the language is so popular. However, Python's unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.
Source: HOB13224
In some ways, programming is like riding a bike. You're not going to forget how to write code if you don't do it for a while. On the other hand, it's a skill that takes plenty of practice to learn and even more to maintain.
Source: HOB3009
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB7587
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB3465
Here are some of the best courses, books, and tutorials of Programming language which will help you to master programming languages with a certified place and help you to get in-depth knowledge.
Source: HOB3129
Best machine learning software without having software, the computer is an empty box as it is unable to perform its given task. Just like that also a human is helpless to develop a system. However, to develop a machine learning project there is several software or tools are available.
Source: HOB5028
Chatbots let your users interact with your service in their own natural language. Use free and open-source tools along with Ruby to build creative, useful, and unexpected interactions for users.
Source: HOB3837
It is the toughest job to find Developers with skills in Java and Python programming languages as the UK's skills shortage spreads beyond the capital.
Source: HOB3408
Python is a very simple programming language so even if you are new to programming, you can learn python without facing any issues and Java is a general-purpose, object-oriented programming language designed for the development of software for consumer electronic devices, such as TVs, VCRs, toasters, etc.
Source: HOB3456
This article having six factors that will positively influence the salary of a Data Scientist. So here are six factors through which you can easily optimize your Data Scientist salary.
Source: HOB3642
Some Tutorials which will give you a brief introduction of data visualization techniques and help you master this field.
Source: HOB3468
Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.
Source: HOB3699
Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.
Source: HOB2847
Python is a gem in the IT industry: Python was conceived in the early 1980s and presented to the industry in the late 80s.
Source: HOB2958
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Source: HOB3423
Gmail's autocomplete feature is such a boon when you're replying to a ton of emails and want to send quick responses.
Source: HOB3900
A data scientist will be responsible for designing and implementing various processes and different layouts for the intricate and large-scale datasets that are basically used for modeling, data mining, and various research purposes.
Source: HOB3534
Become a Fluent Programmer through these books. Learn the fundamentals and become an independent programmer.
Source: HOB7767
Fortunately, some brilliant minds have created and generously open-sourced several deep learning frameworks that can be easily integrated by people with little to no knowledge of machine learning technology.
Source: HOB2817
This article will provide you some helpful information about the scope of Python professions in Information Technology. Let us begin with an overview of python.
Source: HOB3138
Be professional first, if you are paid for 9 hours work 9 hours go home professionalism does not mean stretching all night and on holidays, if your manager gives you the shit show him oxford dictionary and a mirror.
Source: HOB2781
Gain new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills.
Source: HOB3231
So there is an unexpected move in the Python Programming language, and after some great prediction, it is noted that this will the most leading programming language in the world.
Source: HOB11799
Some easy resources from where beginners can start learning data science and its model for easy growth.
Source: HOB3072
Python Programming Language is in high demand and has multiple opportunities too for every python developer.
Source: HOB2949
Everyone holds equal potential, and the chance to learn programming language easily. Today, we will show you a list of top websites that will help to learn to program.
Source: HOB2835
Neuro-Linguistic Programming can help people become more motivated, improve confidence, boost performance, increase creativity and communication skills to name just a few of the benefits.
Source: HOB2871
Machine Learning is in trend these days having smart algorithms which are used at multiple places like emails, smartphones to marketing campaigns.
Source: HOB3192
Learning to code is not only necessary if you're looking to start a lucrative career as a computer programmer, but it's also an incredibly useful skill that will help you develop in-demand job skills.
Source: HOB11469
Data Scientist should have hands-on these data science books which will enhance their in-depth knowledge.
Source: HOB3177
Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python.
Source: HOB2262
Comparing Programming Languages is a very complex thing and so there are many graphical illustrations trying to symbolize Programming language.
Source: HOB3102
This article will be useful for experienced software developers who want to come into the blockchain industry and for those who are at the start of their own developer career.
Source: HOB2634
Some professional courses with a higher-level certificate for all the data scientist which may open the perspective of every beginner as well as professional.
Source: HOB2949
Python is a programming language that has stood the test of time and has remained relevant across industries and businesses and among programmers, and individual users.
Source: HOB2421
Since the importance of data analytics is burgeoning day by day, hence the companies are appointing the sagacious professionals who will provide the company with the wider insights of the structured data.
Source: HOB3120
According to several websites, Python is one of the most popular coding languages of 2015. Along with being a high-level and general-purpose programming language, Python is also object-oriented and open source.
Source: HOB3045
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Source: HOB2946
If you are looking to start a new career that is in high demand, then you need to continue reading.
Source: HOB6627
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.
Source: HOB2670
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Source: HOB3600
Ethical Hacking is a loophole for us to do what we love and actually get paid to do it. Programming languages allow us to create anything we can imagine.
Source: HOB2613
The world of Hadoop and Big Data can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem.
Source: HOB2766
Programming is at the core of these technological innovations and improvements for organizations. Leveraging the right programming language to solve business problems, improve customer experiences and innovate will be the determining factor between the leaders and laggards of the future.
Source: HOB2700
Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights.
Source: HOB3153
Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth.
Source: HOB2775
Become a Certified Programmer with some online courses without any efforts, just get a Professional degree with less cost.
Source: HOB2562
Machine Learning with AWS is the right place to start if you are a beginner interested in learning uses artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform.
Source: HOB3165
As a popular language of programming, Python is simple and easy to learn. It reduces the time of developing an application with its features of easy compilation and simple syntaxes.
Source: HOB3540
Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts.
Source: HOB3063
Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales, and marketing.
Source: HOB2934
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing.
Source: HOB3249
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide.
Source: HOB3051
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Source: HOB3771
First of all, it is important to understand that Machine Learning is basically a subset of Artificial Intelligence. ML is the process using which AI learns.
Source: HOB3300
Facial recognition datasets are unfairly dominated by images of white men, so Google hired third-party contractors to go around recording people's faces by offering them vouchers.
Source: HOB3795
The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
Source: HOB2571
Fortunately, a new list gives us a pretty accurate rundown, and it's filled with the usual suspects: SQL, Java, JavaScript, Python, and so on.
Source: HOB2655
Build neural network models in text, vision and advanced analytics using PyTorch.
Source: HOB2649
Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.
Source: HOB2367
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
Source: HOB2988
Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.
Source: HOB4377
The rapid expansion of Zoomcar's fleet size and the high volume of data generated from its customers forced the company to invest in data-driven technologies.
Source: HOB2544
Guido van Rossum, the creator of the hugely popular Python programming language, is leaving cloud file storage firm Dropbox and heading into retirement.
Source: HOB3021
Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
Source: HOB2073
Machine learning is the science of getting computers to act without being explicitly programmed.
Source: HOB3921
Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
Source: HOB2019
Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you'll quickly grasp Python's fundamentals, working with built-in data structures and functions.
Source: HOB2160
Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more.
Source: HOB2004
This capstone project courses will give you a taste of what data scientists go through in real life when working with data.
Source: HOB4047
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Source: HOB2148
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More.
Source: HOB2502
What programming language do you want to learn? In theory, this seems like the simplest of questions you could pose to a computing student or programming enthusiast.
Source: HOB1980
Learn to train and assess models performing common machine learning tasks such as classification and clustering.
Source: HOB2211
Discover how data science can help you gain in-depth insight into your business the easy way. Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles.
Source: HOB2337
Therefore, in order to gain knowledge and become a professional worker, you need to have a brief idea about at least one of these languages that are required in Data Science.
Source: HOB1854
A high-level overview of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps.
Source: HOB2046
You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.
Source: HOB3153
Here are a few programming languages we recommend for coders who want to make it big in 2020.
Source: HOB2235
Understand machine learning's role in data-driven modeling, prediction, and decision-making.
Source: HOB2343
The progression of computer programming languages was made possible by the programmer's search for efficient translation of human language into something that can be read and understood by computers.
Source: HOB1791
Data Analytics refers to the process of collecting, organizing, interpreting and extracting useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis.
Source: HOB2175
Data analytics is no longer an unknown term. Data analytics is simply collecting, organizing, analyzing and gaining useful insights from raw data.
Source: HOB2091
Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications.
Source: HOB2427
Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.
Source: HOB1830
Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
Source: HOB2418
Data science in its very brief form is the science of drawing out insights and information out of raw data using a mixture of various tools, algorithms, and machine learning principles.
Source: HOB2127
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.
Source: HOB2013
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data.
Source: HOB1677
To really learn data science, you should not only master the tools-data Science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them.
Source: HOB1401
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Source: HOB2415
These courses are perfect for true beginners, learn Python basics and start coding right away.
Source: HOB1800
Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
Source: HOB1647
Python Essential Reference is the definitive reference guide to the Python programming language - the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.
Source: HOB1722
Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.
Source: HOB1758
Machine learning is all about making computers to perform intelligent tasks without explicitly coding. This is achieved by training the computer with lots and lots of data.
Source: HOB1482
Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell
Source: HOB1401
Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.
Source: HOB1254
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.
Source: HOB1434
You will learn about the different deep learning models and build your first deep learning model using the Keras library.
Source: HOB1362
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation.
Source: HOB1254
Below is the list of top 10 of data analytics tools, both open-source and paid version, based on their popularity, learning and performance.
Source: HOB1212
Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.
Source: HOB1194
The majority of the sites are made in PHP, yet some of them are made in Flash, ASP, Java, Python, Ruby or just in HTML, CSS, and JavaScript, however, these ones don't have a database or complex highlights.
Source: HOB3858
It is no doubt that python is one of the best-suited programming languages when it comes to a data scientist. It has been spoken of time and again that Python is the most common programming language in the case of computing.
Source: HOB1215
PHP or Python? The question strikes on the mind of every new starter in the realm of web development who want to make it large with an astounding web application.
Source: HOB1347
Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts.
Source: HOB912
These books provide multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Source: HOB1074
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Source: HOB1218
Companies are eager to capture data and derive insights from it because of the technological advancements we are seeing.
Source: HOB1209
Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data.
Source: HOB858
Password reset link has been sent to your mail
Thank you for your registration has been Successfully done.
