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  • From machine learning to Python language skills: 6 tech skill sets that fetch maximum salary

    Technology is gradually taking over workplaces and that is one of the reasons why 'human workers' are becoming redundant.

    Source: BGR
    17007
  • Get started with machine learning using Python

    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: Opensource
    19302
  • Top 3 machine learning libraries for Python

    Learn about three of the most popular machine learning libraries for Python.

    Source: Opensource
    20154
  • Why Python is perfect for startups

    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: Opensource
    11292
  • Kickstart your coding career by mastering Python for £79

    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: Androidauthority
    17073
  • 18 New Books for Data Scientists, Machine Learning, on R and Python Must Read!

    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 Team
    31380
  • Learn How to Manipulate Big Data With The Data Science Certification Training Bundle

    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: ScienceAlert
    10527
  • Top 15 Python Libraries for Data Science in 2017

    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: Kdnuggets
    14982
  • Resources for getting started with Python and machine learning

    Advance from building a first program to building a neural network.

    Source: Opensource
    11985
  • 6 Interesting Things You Can Do with Python on Facebook Data

    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: KDnuggets
    15669
  • Top 5 Python IDEs For Data Science

    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: Datacamp
    26823
  • Top Programming Languages 2017

    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: Masterofcode
    21513
  • Get Started Learning Python for Data Science with "Unpacking NumPy and Pandas"

    Since February I have been working on a video course with Packt Publishing, and the course is now published.

    Source: NTguardian
    15582
  • Tutorial on Automated Machine Learning using MLBox

    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 Vidhya
    18444
  • Deep Learning with Python and Keras

    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: Medium
    22212
  • 12 Useful Data Science Walkthroughs

    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: Datacamp
    10806
  • Machine Learning Showdown: Python vs R

    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: Webhose
    20568
  • 6 Reasons Why Python Is Suddenly Super Popular

    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: Kdnuggets
    16224
  • Learn these 3 languages now if you want to become a data scientist

    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: Techrepublic
    10014
  • 3 projects lighting a fire under machine learning

    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 World
    10140
  • What Are the Best Skills to Have for Machine Learning

    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: HuffPost
    18618
  • Making sense of data

    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 Hindu
    9537
  • Top 35 Demanded Courses to boost your career in 2018-20

    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 Team
    12807
  • What's the best programming language for artificial intelligence?

    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: Techworld
    35046
  • How to Become a Data Scientist Without a Certification and Degree

    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: Codementor
    54705
  • How I learned Natural Language Processing

    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: Codementor
    12960
  • Aspect Based Sentiment Analysis

    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: Codementor
    16299
  • Python Machine Learning is what you need to build a recommendation system

    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: HOB
    16509
  • Employers want JavaScript, but developers want Python

    Employers also want developers skilled in React.js, Angular, and Node.js-but fewer developers have those skills

    Source: Infoworld
    13527
  • Data science jobs make the big bucks, and these tools can help you get one

    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: Mashable
    14700
  • Popular Python Data Science Platform Anaconda Now Shipping with Microsoft VS Code

    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: Infoq
    30237
  • 6 predictions for data science in 2018

    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: Springborad
    12549
  • PyTorch tutorial: Get started with deep learning in Python

    Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

    Source: Infoworld
    28638
  • 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

    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: Kdnugget
    57147
  • Will Python Replace Java?

    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: Mytectra
    17412
  • Top 20 Hot Python AI and Machine Learning Open Source Projects

    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: Kdnugget
    36417
  • 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

    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: Kdnugget
    42573
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    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: Kdnugget
    12219
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    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: Kdnugget
    6549
  • 5 Fantastic Practical Natural Language Processing Resources

    This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

    Source: Kdnugget
    43695
  • Top 5 Courses to Learn Python in 2018

    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: Dzone
    20082
  • Ranking Popular Deep Learning Libraries for Data Science

    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: Kdnugget
    22848
  • Top 10 Must Read Books for Data Scientists on Python

    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 Vidya
    31683
  • 18 New Must Read Books for Data Scientists on R and Python

    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: AV
    21879
  • Machine Learning Zero-to-Hero: Everything you need in order to compete on Kaggle for the first time, step-by-step!

    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: TDS
    31794
  • How to write a production-level code in Data Science?

    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: TDS
    13131
  • What is ML and how to learn with Python?

    All have probably heard the buzz, the age of Machine Learning has arrived.

    Source: HOB
    12978
  • Top Five Programming Languages to Learn & Understand in 2018

    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: HOB
    15729
  • What Getting A Job In Data Science Might Look Like

    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: TDS
    14274
  • My Take on Microsoft AI Interview Questions with Interactive Code - Part 1

    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: TDS
    20358
  • Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

    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: HOB
    24600
  • Skills Required To Become Data Scientists

    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: HOB
    25962
  • Which Programming Language Do I Master?

    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: HOB
    11301
  • Python : The best tool for Machine Learning

    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: HOB
    12333
  • Web Scraping Using Python for Beginner's

    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: HOB
    18960
  • Today I Built a Neural Network During My Lunch Break with Keras

    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: HOB
    22572
  • Top Languages for Programming Big Data Analysis

    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: HOB
    7437
  • Top Languages for Programming Big Data Analysis

    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: HOB
    11472
  • A Feature Selection Tool for Machine Learning in Python

    Using the FeatureSelector for efficient machine learning workflows

    Source: HOB
    15678
  • Explore More About Data Science And Its Significant Importance

    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: HOB
    19209
  • List of Questions Asked in Data Science Interview

    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: HOB
    13677
  • Differentiating between Data Science, Big Data and Data Analytics

    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: HOB
    28086
  • Machine Learning: Applications, Types and How Does it Work?

    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: HOB
    16566
  • TensorFlow: One of the Most Popular Framework of Machine Learning

    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: HOB
    11793
  • How we can start career with Machine Learning

    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: HOB
    14355
  • Best way to start learning Robotics

    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: HOB
    45471
  • Skills Required For Data Scientist

    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: HOB
    8442
  • Highest Demanding Job Roles in the Year 2018

    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: HOB
    9189
  • 5 Quick and Easy Data Visualizations in Python with Code

    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: HOB
    20835
  • What is Apache Spark and Why it is Popular among Data Scientists?

    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: HOB
    16323
  • Data Science: A Great Field To Get into It

    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: HOB
    11253
  • How to Learn Mathematics for Machine Learning?

    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: HOB
    25413
  • Comparison of Top 6 Python NLP Libraries

    Today, we want to outline and compare the most popular and helpful natural language processing libraries, based on our experience.

    Source: HOB
    10245
  • Is Python Really More Popular Than R Language?

    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: HOB
    11580
  • Hadoop and Spark: Which one is better?

    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: HOB
    13695
  • Streamlining the Data Scientists Workflow

    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: HOB
    16410
  • Setting up your AI Dev Environment in 5 Minutes

    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: HOB
    12972
  • Skills that are useful to get a job in data science

    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: HOB
    6861
  • These are the preferred languages when it comes to programming AI

    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: HOB
    15621
  • Swiftapply - Automatically efficient pandas apply operations

    Using Swiftapply, easily apply any function to a pandas dataframe in the fastest available manner.

    Source: HOB
    12654
  • Why Data Visualization Tools are Required for IoT Data?

    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: HOB
    7890
  • List of Best Open Source ML Libraries For Python

    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: HOB
    18696
  • Top Five Programming Languages To Learn in 2018

    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: HOB
    10326
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part One

    Solving a complete machine learning problem for the societal benefit

    Source: HOB
    35811
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part Two

    Getting the most from our model, figuring out what it all means, and experimenting with new techniques

    Source: HOB
    14127
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    16083
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    8913
  • How to Run Parallel Data Analysis in Python using Dask Dataframes

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.

    Source: HOB
    12054
  • How to Setup a Data Science Environment on your Personal Computer? Let's Know How

    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: HOB
    19782
  • Most Popular Machine Learning Interview Questions & Answer Can Make or Break Your Career: Machine Learning Engineer

    To kickstart your career in Machine Learning, you need to ace the interview along with various other job selection processes.

    Source: HOB
    17988
  • Data Science Takes on Public Education for Data Scientist

    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: HOB
    9636
  • 15 Most Prominent Apps that are Useful for Data scientists or Data Analyst

    In this article you will read about 15 Android applications which can be useful for a data scientist or data analyst.

    Source: HOB
    16425
  • Top 5 Data Science Material for Data Science Beginners That Can be Downloaded Free

    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: HOB
    35418
  • 60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

    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: HOB
    118029
  • 10 Machine learning frameworks those are popular amongst Data scientists

    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: HOB
    8598
  • Why Data Scientists Like Python Over Java?

    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: HOB
    50301
  • Unusual problems that can be solved with Data Science

    Here is a non-exhausting list of curious problems that could greatly benefit from data analysis.

    Source: HOB
    13203
  • Whom To Hire Data Scientist or Data Engineer for Data?

    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: HOB
    15741
  • How to strat writing code a production-level in Data Science?

    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: HOB
    7092
  • How to start writing code a production-level in Data Science?

    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: HOB
    11826
  • I Wanted to Learn Machine Learning and Data Science, But Where to Start?

    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: HOB
    64239
  • How to Create a Data Science Portfolio to Get Job as Data Scientist

    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: HOB
    31101
  • Most Popular 20 Python Libraries For Data Science, Machine Learning, Deep Learning & More...

    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: HOB
    64083
  • What's The Best Programming Language to Learn for Software Engineer?

    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.

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  • Top 10 Deep Learning Open Source Frameworks For Data Science, Machine Learning

    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.

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  • Collection of Best Data Science Platform, Data Scientists Must Aware Of Them!!

    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.

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  • Learning the Ecosystem, Not New Data Science Language?

    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.

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  • 50+ Data Structure, Algorithms & Programming Languages Interview Questions for Programmers

    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.

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  • A Complete Machine Learning Project Guide in Python

    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

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  • How to Run Parallel Data Analysis in Python using Dask Data frames

    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.

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  • 10 Useful Tools, Libraries to Learn Programming Language - Every Programmer Should Know

    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.

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  • A Complete Machine Learning Guide in Python: Part 2

    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.

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  • 10 best Online Courses for Data Science

    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

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  • Understanding Easy Ways to Get Step Into Data Science

    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.

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  • Understanding Easy Ways to Get Step Into Data Science

    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.

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  • A Guide To Become A Machine Learning Engineer

    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.

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  • 200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers - 2018

    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.

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    58542
  • A Combination of Skill Set Makes A Perfect Machine Learning Engineer

    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.

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    8550
  • Top Videos And Tutorials To Get Started With Machine Learning And Artificial Intelligence at Beginner Level, Part-1

    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.

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  • Get Start Your Career In Machine Learning & Artificial Intelligence At Advanced Level With Best Videos And Tutorials, Part-2

    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.

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  • Python has brought computer programming to a vast new audience

    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.

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  • Top 20 programming language of the year 2018.

    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.

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  • Know Top 4 Reasons Why Everybody Want to Get Learn Python

    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.

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  • 300+ Free Online Programming Language Courses To Learn & Get Highest Salary in 2018

    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.

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    24654
  • 3 Best Programming Languages For Internet of Things Development In 2018

    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.

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    45273
  • Gear Up Your Career in Deep Learning With These Popular Videos

    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.

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  • Python is not a language for everyone. Why?

    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.

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  • Popularity of languages in Machine Learning and Data Science over the years.

    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.

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  • How Did I Learn Python & Became From Zero to Hero - Python Expert

    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.

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  • Python Raising Most Popular Programming Languages In The World - List 2018

    According to the Tiobe Index for September 2018, Java, C, and Python are the most popular programming languages in the world.

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  • What Programming Languages Are Mostly Preferred For Blockchain Coding?

    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.

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  • An A-Z Of Useful Python Tricks To Learn Quickly

    Python is one of the world's most popular, in-demand programming languages. This is for many reasons:

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  • 10 Most Popular Mobile Apps for Data Scientist and Data Analysts

    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.

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    25974
  • Unsure of whether to learn R, SAS or Python. We are here to help.

    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.

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    17175
  • Why I did Master In Python For Data Science: 8 Concepts You May Have Forgotten

    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.

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  • What Exactly Can You Do With Python? There Are Python's 3 Main Applications

    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?

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    48450
  • Why python can be the missing piece in Excel's puzzle.

    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.

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    18216
  • How Hitchhiker's Guide Workes For Machine Learning in Python

    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.

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    33552
  • Learning Algebra can be a great Data Science skill.

    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.

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    9192
  • How Did I Scrape Websites with Python & BeautifulSoup

    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.

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    22506
  • The Vast Growing Programming Languages In 2018 - According to Github Report

    GitHub has published a vast programming language report. its latest State of the Octoverse report, looking at trends in the software development industry.

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    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.

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  • How, why & When - you should use Python Generators

    Generators have been an important part of Python ever since they were introduced with PEP 255.

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  • Want To Learn The World's Fast Mover Programming Language? 5 Reasons To Choose Python 3 Programming Language

    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.

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    15858
  • Get Hired WithThese Popular Tensor Flow And Machine Learning Courses

    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.

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  • 5 Best and Easy Data Visualizations in Python with Code

    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.

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    15660
  • Top 5 Amazing Websites To Learn Python Programming Language

    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.

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    37065
  • R vs. Python: The War of Programming World.

    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.

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    24072
  • Deeper You Go Deeper You Learn With These Popular Deep Learning Books

    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.

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    21222
  • Tutorials The Helping Hand To Learn About Deep Learning With Python

    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.

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    15198
  • What I Have Learned, Analyzing 80 Job Rejections With Python Language

    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.

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    10269
  • Top 5 Most Popular Programming Languages to Learn for Cyber Security

    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.

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    15594
  • You Current Job Getting You Down? Python Could Be Your Escape

    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.

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    37647
  • How I Processed Textual Data Using TF-IDF in Python Language

    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.

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    12990
  • Your Next Job Interview Might Be In Python and Not In English.

    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

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    14787
  • Want To Earn More Than Learn More of These Programming Languages: Python, R or SQL

    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.

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  • As a Developer these could be your best 15 Machine Learning tools and platforms.

    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.

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    14145
  • 4 Reasons Why Python Isn't the Programming Language for Every Programmer

    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.

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  • 12 Malicious Python Libraries Removed from PyPI Every Programmer Should Know

    A software security engineer has identified 12 Python libraries uploaded on the official Python Package Index (PyPI) that contained malicious code.

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  • Accelerated Python an Even Bigger Boost with No Code Changes All Engineers Should Know

    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.

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    19374
  • Awesome Programming Languages For Blockchain Programmers

    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.

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  • As a Data Scientists using these 5 ingredients can be great in making your code.

    These tips should help data scientists work collaboratively to write good code and build models in a way that will be easier to productionize.

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    13512
  • Among All Programming Languages Soon Python Will Be At Number One: Learn Programming Languages Via YouTube Channels

    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: HOB
    16236
  • Network Analysis to Get Insight Into An Academic Field With python Programming Language

    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.

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    15252
  • As a Data Scientist it is hard to choose between Python and R.

    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.

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    25110
  • Which Programming Language Is Best & Earn Highest Salary Python or Go: According To Stack Overflow Survey 2018

    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.

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    16038
  • Why Python is the next level for Excel users?

    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.

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    15873
  • If You Are a Data Scientist Then You Should Have These Apps In Your Mobile

    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.

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    62943
  • 10 Most Popular Programming Languages in Demand: According to Facebook & GitHub For Programmers

    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.

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  • Web Scraping, Data Visualization, and Regular Expressions: Doing it all in Python

    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

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    21774
  • Why Everyone Should Not Be A Data Science Generalist

    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.

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    44385
  • The Most Hottest & Colder Programming Languages In Banking Right Now

    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.

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    44142
  • Find Out Which Programming Language you should Use For Machine Learning.

    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.

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    8442
  • Top 4 Best Programming Languages For Image Recognition

    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.

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    88791
  • Why Machine Learning Industry Can Never Grow Without Open Source of Machine Learning Platform

    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.

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    39609
  • Amazing Guide to Neural Networks and Deep Learning Algorithm in Python

    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

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    19845
  • Python vs. Ruby: Which Is Better For Every Programmer and Why?

    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: HOB
    21453
  • Why Python Failed & Not Sustainable To penetrate The Enterprise Development?

    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.

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    18579
  • Ultimate Python Quickstart Guide For Data Science

    This quickstart tutorial will get you set up and coding in Python for data science.

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    51807
  • 5 Awesome Programming Languages For AI Systems Development

    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.

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    22479
  • Top 6 Reasons Why Python Is Suddenly Super Popular for Every Programmer

    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.

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    24555
  • If you are a Data Scientist These Books about R can be your Best Friend.

    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.

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    16272
  • Data Scientists: The Real Hero Of The Tech World

    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.

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    11115
  • Data Scientists: The Real Hero Of The Tech World

    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: HOB
    6531
  • Is Really Data Scientists Are Looking For Good Opportunities?

    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: HOB
    11835
  • What Features Make Python Different From Other Programming Languages?

    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.

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    46713
  • Top 5 Best Python Deep Learning Libraries

    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.

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    25785
  • The Next Change in Data Science And Machine Learning With Automation

    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: HOB
    14472
  • The end of 2018 is near so here are some python libraries for Data Science for this year.

    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.

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    15177
  • 10 High Paying Technologies and Programming Language, Programmers Can Learn in 2018-2019

    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.

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    150714
  • Top 50 Best Python Interview Questions & Answer You Must Prepare In 2018-2019

    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.

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    71736
  • Job Market for Python Developers Having a 'Hockey Stick' Moment

    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.

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    27540
  • Most Popular Machine Learning Algorithm For Your Regression Problem

    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.

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    19098
  • An A-Z Of Useful Python Tricks - Python Developer Should Know

    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

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    29757
  • Top 10 Programming languages To Learn in 2019 - (Kotlin, Go, Python, Rust, and More)

    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.

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    176943
  • Is The Python Perfect Tool For Any Problem?

    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.

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    24399
  • Start on the right foot to position yourself for a future career in machine learning

    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.

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  • Top 3 Features Make Programming Languages Popular In World- According to Github

    GitHub has identified three features that make a programming language popular in 2018.

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    9006
  • Top 5 Reasons Why Switched From Python To Go

    Python is awesome! Especially Python 3 with async functionality. But really Go is not giving any chances to survive in enterprise world

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    11631
  • Should Clear With These Listed Points While Choosing Your Career As A "Data Science"

    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.

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  • How To Choose Right Programming Language For Your Career

    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:

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    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: HOB
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  • It Is Not Just Python. You Need To Learn Rust To Get Job Into Big Banks Project

    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: HOB
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  • Top 10 Most Popular IoT Programming Languages in 2018-19

    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: HOB
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  • Python Opens The Door For Computer Programming

    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: HOB
    81279
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    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: HOB
    24480
  • Programming Language "Python" Is The Real Money Maker For Job Seekers

    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: HOB
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  • An Amazing Introduction to Power Analysis in Python

    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: HOB
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  • Know The Best Programming Languages To Trade In The Blockchain World!

    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: HOB
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    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: HOB
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    Most popular programming languages like R and Python offer great value in bringing data science and machine learning jobs to successful completion.

    Source: HOB
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  • Do You Really Want To Become A 'Data Scientist'?

    If yes, then the first step is to understand the basic terms and their usage of data science.

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  • 10 Most Popular Programming Languages to Learn in 2019 For Job Security & Future

    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: HOB
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    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: HOB
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  • Top 10 Best Python Books For Beginners and Advanced Programmers To Learn Programming Language

    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.

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  • Why Python Is The First Choice Of Startups Amongst All Programming Languages?

    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: HOB
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  • Top 6 Best Python Libraries For Cyber-Defenders, Python Engineers Must Know

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    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.

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  • How To Increase Instagram Followers With A Simple Python Bot

    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: HOB
    21231
  • Why Should You Learn Python? How To Become Certified Python Programmer?

    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: HOB
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    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: HOB
    13464
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    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: HOB
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    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: HOB
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  • 10 Amazing Courses For Learning Top Programming Languages

    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: HOB
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  • Comparison Of Python Language With Other Programming Languages

    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.

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    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: HOB
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  • Why Developers Should Learn 10 Popular Programming Languages in 2019

    Java dominates the top coding languages, but Visual Basic .NET has made a comeback, according to the TIOBE index.

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  • Getting Started With Python Language: A List Of Free Resources (PDF Download)

    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.

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    18423
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    Source: HOb
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    Source: https://www.simplilearn.com/mobile-and-software-development/python-development-training
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  • Python The Foremost Counselled Programming Language For Beginners In The Year 2018

    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?

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    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: HOB
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    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.

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    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,

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    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.

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    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.

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  • Know How Deep Learning Gives Base To Robots?

    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.

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    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: HOB
    46431
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    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: HOB
    30309
  • Why We Need to Forget 'For-Loop' for Data Science Code And Embrace Vectorization

    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: HOB
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  • Learn Python Programming Language in 15 Minutes Part-3

    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: HOB
    56358
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    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: HOB
    103926
  • An Easy Guide to Figuring Out Which Programming Language to Learn in 2019

    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: HOB
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    I am an Android Engineer, and this is my experience working on ML projects with our data scientist.

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    Java Programming Language Tops Indeed's latest list; Python, JavaScript rank high

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    15828
  • These Top Programming Languages Will Change Your Career in 2019

    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: HOB
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  • Learn Python Programming in 15 Minutes Part-2 in 2018

    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.

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    36531
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    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: HOB
    18441
  • The Way How Deep Learning Is Influencing Robotics?

    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: HOB
    16191
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    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!

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    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.

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    45609
  • Which One Should I Learn As A Beginner: Python 2 Or Python 3?

    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).

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    40620
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    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: HOB
    31947
  • Best Fitted Programming Languages For Web Development

    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: HOB
    22209
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    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.

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    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.

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    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: HOB
    11904
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    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.

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    In 2018, I invested a good amount of time in learning and writing about data science methods and technologies.

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  • Learn The Ecosystem, Not The Language For Data Science

    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.

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    15333
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    Get started with python popular language or buff up on your coding skills with this curated book list.

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  • Kick Start With Machine Learning As Per Data Scientists Tips

    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.

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  • Become a Pro with some Machine Learning and Deep Learning Courses

    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.

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  • Top 20 Most Popular Programming Languages To Learn in 2019

    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.

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    With more than a hundred programming languages in use today, only a few of them can change the trajectory of your career.

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  • How To Build Great Looking Data Visualization in Python

    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.

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  • Which Programming Language Should We Use On A Regular Basis?

    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.

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    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.

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  • Get Up And Be Prepared For The Top Most Programming Language "Python" Interview With These Top 40 Questions In 2K19

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    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.

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  • Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

    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.

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    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.

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    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.

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    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.

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  • Julia Programming Language is Fastest Growing Than Others, Stat Charts Rapid Rise in 2018-19

    Up-and-coming language Julia programming language is gaining momentum with programmers, according to its creators.

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    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: HOB
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    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.

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  • Python Programming Language: Understanding The Meaning, Characteristics And Why It Is Used?

    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: HOB
    47430
  • To get a Job Learn Top 4 Programming Languages

    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: HOB
    20112
  • Master Deep Learning in 6 Weeks

    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: HOB
    28857
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    Learning a new language is no easy task, and for programming languages, it's no simpler.

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    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.

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    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.

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    110010
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    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.

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  • Build your career through the Latest Technology Trends

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    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.

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    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: HOB
    10095
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    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.

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    100203
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    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.

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    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

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    IPL (Information Processing Language) was the first language developed for artificial intelligence. The language included features to perform general problem solutions.

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    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.

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    Programmers should be aware of the top programming languages that they should learn.

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    Here are few ways to improve from a Junior or Mid-level Python developer to a total coding rockstar.

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    Some books which will help beginners and professionals to boost up their Programming knowledge.

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    Here in this article, we will discuss the comparison between Python and R language, and pros and cons between R and Python Programming Language.

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    7365
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    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.

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    15852
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    The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.

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    Some books which will help data scientist to build their career with these famous Data Science courses.

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  • Top 14 Different Demanded Programming Languages And Their Uses - All Programmer Should Know

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    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.

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  • Top Online courses with certificates for every Data Scientist

    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.

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  • Clear your basics of Neural Networks in Machine Learning

    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.

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    Machine Learning is invading this world gradually and gradually. If we can develop a driverless car then it is Machine Learning.

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    7320
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    9318
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  • A basic guide to Machine Learning

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