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  • Artificial Intelligence
  • UNDERSTANDING THE LIMITS OF DEEP LEARNING

    Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses.

    Source: Topbots
    28053
  • A Tour of Machine Learning Algorithms

    It is useful to tour the main algorithms in the field to get a feeling of what methods are available.

    Source: Machinelearningmastery.
    27912
  • 7 Ways to Handle Large Data Files for Machine Learning

    Exploring and applying machine learning algorithms to datasets that are too large to fit into memory is pretty common.

    Source: Machinelearningmastery
    11142
  • Food and Drug Administration (FDA) Assembles Team to Oversee AI Revolution in Health

    Mobile health apps and wearable devices that use artificial intelligence to help diagnose or even treat medical conditions pose a new regulatory challenge for the U.S. Food and Drug Administration.

    Source: IEEE Spectrum
    13854
  • The Big Data banking revolution

    There is more data out there than ever before, but organisations should be smart about how they use it.

    Source: Gulfnews
    16245
  • Bereaved father, Microsoft data scientists combat infant deaths

    Scientists crunching numbers on infant deaths in the US are using data-analysis algorithms to try and find new ways to reduce the number of babies lost to SIDS each year, with Microsoft contributing free cloud hosting and software tools for their work.

    Source: The Star
    9528
  • Why "skilled in machine learning" should be the new "proficient in Excel" on your resume

    It won't be long before "skilled in machine learning" becomes the new "proficient in Excel" as a standard bullet point on your resume.

    Source: QZ
    9024
  • Google explains how artificial intelligence becomes biased against women and minorities

    Time and again, research has shown that the machines we build reflect how we see the world, whether consciously or not. For artificial intelligence that reads text, that might mean associating the word "doctor" with men more than women, or image-recognition algorithms that misclassify black people as gorillas.

    Source: QZ
    13284
  • Machine Learning's Implications for Fairness and Justice

    Nowadays, government is armed with algorithms that can forecast domestic violence and employee effectiveness, allowing it to perform its duties more effectively and to achieve correct results more often. But these algorithms can encode hidden biases that disproportionately and adversely impact minorities. What, then, should government consider when implementing predictive algorithms? Where should it draw the line between effectiveness and equality?

    Source: theregreview
    8274
  • Machine Learning - the new catalyst in higher education

    Who would have thought that the stories around self-driven cars could actually come true, so much so that machine learning algorithms can enable computers to communicate with humans, drive cars, play games and do things human cannot do.

    Source: YourStory
    13014
  • AI will create 2.3 million new jobs while eliminating only 1.8 million jobs in 2020: Gartner, Inc.

    Even though the popular perception is that artificial intelligence (AI) is only going to be a job killer, reports say that 2020 onwards, AI will start adding more jobs than it would take away

    Source: Mint
    38751
  • Humans have some learning to do in an A.I. led world

    Amid all the fear of robots taking human jobs, sceptical voices have been asking: Where are these robots? Machine-learning systems - commonly marketed as artificial intelligence, but really closer to fancy statistical algorithms - are beating humans at games, improving search algorithms and transforming industry in countless small ways

    Source: Gulf News
    16344
  • Artificial intelligence goes bilingual-without a dictionary

    Automatic language translation has come a long way, thanks to neural networks-computer algorithms that take inspiration from the human brain.

    Source: Sciencemag
    13209
  • Management AI: Overfit, Why Machine Learning Isn't Trained to Perfection

    The core of most modern Machine Learning (ML) systems is automated neural networks (ANNs). The training of ANN's require large data sets.

    Source: Forbes
    10332
  • Artificial intelligence in Blockchain, manipulative chatbots to define 2018: FICO study

    The year 2018 will be one of artificial intelligence 'operationalisation' as more services integrate AI systems in their core offerings. The age of artificial intelligence (AI) is upon us. Every aspect of life will soon be altered - and sometimes defined - by AI.

    Source: YourStory
    10194
  • Mysterious 15th century manuscript decoded by computer scientists using artificial intelligence

    Artificial intelligence has allowed scientists to make significant progress in cracking a mysterious ancient text, the meaning of which has eluded scholars for centuries.

    Source: Independent
    20694
  • Decode and decipher artificial intelligence with these 6 books

    Artificial intelligence has been the catchphrase in recent times, but did you know that it has been written about for years now? These books will help you get started on understanding the concept's past and future relevance.

    Source: Yourstory
    22773
  • AI and jobs: Where humans are better than algorithms, and vice versa

    It's easy to get caught up in the doom-and-gloom predictions about artificial intelligence wiping out millions of jobs. Here's a reality check.

    Source: ZDnet
    10155
  • Facebook competes with Google and Microsoft, hiring AI experts and reshuffling its management

    Facebook has been taking on some of the top names in AI and making management changes to help head off criticism about addiction to the site and its â??fake news' problem as artificial intelligence becomes ever more important

    Source: SCMP
    13005
  • The real challenges of ML/AI

    Machine learning (ML) and artificial intelligence (AI) have a present and future impact on every aspect of our business and personal lives.

    Source: HOB
    9936
  • Why is Machine Learning on hype?

    Machine learning is one of the favorite technologies in the market. From voice assistants to self-driving cars, machine learning is everywhere. Machine Learning is designed to operate with an idea of making computer algorithms that automatically upgrade themselves by discovering patterns in existing data without being explicitly programmed.

    Source: HOB
    6612
  • Top 10 Machine Learning Algorithms for Beginners

    A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.

    Source: Kdnugget
    18588
  • Machine Learning the Real World Applications

    As everyone knows Machine learning studies computer algorithms for learning to do stuff. We might for instance, be interested in learning to complete a task, or to make accurate predictions, or to behave intelligently. The learning that is being done is always based on some sort of observations or data, such as direct experience, or instruction. So in general, machine learning is about learning to do better in the future based on what was experienced in the past.

    Source: HOB
    9402
  • 9 Free Books for Learning Data Mining and Data Analysis

    Whether you are learning data science for the first time or refreshing your memory or catching up on latest trends, these free books will help you excel through self-study.

    Source: Kdnugget
    31749
  • Machine Learning: A boon for ecommerce businesses

    It is forecasted that, by 2020, customers will manage 85 percent of their relationship with the enterprise without interacting with a human, according to Gartner. This is possible due to impressive advances made in machine learning in the past 4-5 years. Also, this happens due to increasing need and desire of businesses to understand and act on large amounts of customer-related data in real-time as they build data-driven business infrastructures.

    Source: HOB
    9630
  • Top 10 Algorithm Categories For A.I., Big Data, And Data Science

    ARE ALGORITHMS taking over our jobs? Yes, yes they are... and that a good thing. With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

    Source: Bizcatalyst360
    12528
  • How to use Machine Learning for a startup?

    There is a misconception among audiences that leveraging machine learning is a tough task. But, in reality, most machine-learning applications use well-understood, well-tested, off-the-shelf algorithms. For many developers, especially those at startups, the real challenge lies in training the data. Overcoming this challenge takes clever product development with an eye on user experience.

    Source: TheNextWeb
    9870
  • How AI Is Improving The Landscape Of Work

    There have been a lot of sci-fi stories written about artificial intelligence. But now that it's actually becoming a reality, how is it really affecting the world? Let's take a look at the current state of AI and some of the things it's doing for modern society.

    Source: Forbes
    11853
  • ML use case in Brewery Company

    As computers integrated into everyday life, a romanticism emerged: the idea that they might be able to do everything perfectly, from handling your finances to even finding you a mate. And as the field of artificial intelligence continues to grow, a brewery in Virginia has even used this technology to create what it hopes could be the perfect IPA, and the methodology they used is certainly intriguing.

    Source: Food & Wine
    9624
  • Key Challenges in Machine Learning

    Artificial Intelligence (AI) & Machine Learning (ML) have been a part of our day-to-day activities. Due to heavy investment in this sector, we can see accelerated development in technology today.

    Source: HOB
    12711
  • Practical Implications of Machine Learning

    Machine learning (ML) is an incredible innovation in the field of AI. It provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. It majorly focuses on the development of computer programs that can access data and use it to learn for themselves.

    Source: HOB
    21204
  • 10 Popular Machine Learning Frameworks

    A Machine Learning Framework is an interface, library or tool which allows developers to more easily and quickly build machine learning models, without getting into the nitty-gritty of the underlying algorithms. It provides a clear, concise way for defining machine learning models using a collection of pre-built, optimized components.

    Source: HOB
    13656
  • A Step-by-step guide to master Machine Learning

    Machine learning is a solution for the problem of elicitation where general rules are learned from specific observed data from the domain.

    Source: HOB
    16059
  • Artificial intelligence: A disruptive move or constructive one?

    AI is the fast-growing technology which everyone is talking about. Companies are investing much in AI to leverage its benefit without thinking much how can. AI will impact the business.

    Source: HOB
    11613
  • 5 Best Machine Learning Algorithms for Beginners

    Machine Learning has become increasingly visible important because of the digital revolution of companies leading to the production of massive data of different forms and types, at ever increasing rates. Due to the advancements in computing technologies and exposure to huge amounts of data, the applicability of machine learning has dramatically increased.

    Source: HOB
    23232
  • How Google is using Machine Learning to deliver seamless User Experience

    Google is also implanting Artificial intelligence, Machine learning, algorithms, Natural language processing, neural network, Deep Learning. Lets explore how google is leveraging benefits from these technologies and delivering delightful experience to its user.

    Source: HOB
    17535
  • 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
    13089
  • What is KNN Algorithms? Understand with the help of Examples

    By now, we all know Machine Learning models makes predictions by learning from the past data available. So here we have input value, a machine learning model based on those inputs understands and gives out the predicted output.

    Source: HOB
    19632
  • 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
    11202
  • Understanding the Concept of Logistic Regression in R

    Logistic Algorithms as the name suggest it comes under regression algorithms but with logistics regression the answer which comes is categorical as in the answer is either yes or no, either true or false so it is classified the values of fixed values are categorical the dependent variable the output, this is what we getting like this answers this will also categorize under the classification algorithms.

    Source: HOB
    17658
  • Machine Learning Algorithms: Data Scientists Should Know

    Machine Learning has become increasingly important today because of the digital transformation of companies leading to the production of massive data of different forms and types, at an ever increasing rate. Due to the advancements in computing technologies and exposure to huge amounts of data, the applicability of machine learning is dramatically increasing.

    Source: HOB
    10827
  • Advancement in Machine Learning in the year 2017-18

    Machine Learning is a subset of Artificial Intelligence technique which uses statistical methods to enable machines to improve with experience. But what were the issues with the people which make the machine learning come into the existence.

    Source: HOB
    14145
  • 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
    42777
  • A Machine Learning framework for Algorithmic trading on Energy markets

    New breakthroughs in AI make the headlines everyday. Far from the buzz of customer-facing businesses, the wide adoption and powerful applications of Machine Learning in Finance are less well known.

    Source: HOB
    12774
  • Machine Learning: It's Origin and Influence on other Fields

    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. Yet most would agree that these days the largest fraction of machine learning researchers come from computer science.

    Source: HOB
    6882
  • How Artificial Intelligence and Machine Learning is Impacting Internet Marketing?

    Artificial Intelligence and Machine Learning are the two important terms which are not only impacting internet marketing but also as a whole market. Both technologies have already reaped significant benefits in all the sectors.

    Source: HOB
    12414
  • Data or Algorithms: Which one is More Important in AI?

    We can't expect a simple black or white answer to this question. Whether data or algorithms are more important has been debated at length by experts (and non-experts) in the last few years and the TLDR, is that it depends on many details and nuances that take some time to understand.

    Source: HOB
    12087
  • What's next to Deep Learning and why Machine Learning Experts are Turning to Deep Learning?

    Deep Learning is not very interpretable, and this makes it undesirable in cases where it is important to understand why a deep learning model is making certain predictions. Deep Learning will not replace traditional Machine Learning, they will live side by side. Deep Learning only adds the capability to bring low quality data into the fold, it self-learns rich features, and turns low quality data, like pixels and sound samples, into high quality features, which it then feeds into traditional machine learning. In fact, Deep Learning actually has normal machine learning as part of its pipeline.

    Source: HOB
    7884
  • Developers Should have Strong Understanding of "Machine Learning Algorithms"

    For any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.

    Source: HOB
    9735
  • Machine Learning: Is It Overrated or Overhyped?

    Machine Learning is overrated in a few ways, both by people with little experience and, more perniciously, people deeply invested in the field. Machine Learning is overrated in a few ways, both by people with little experience and, more perniciously, people deeply invested in the field.

    Source: HOB
    17379
  • 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
    10617
  • Understanding Decision Tree Algorithm with the help of Examples

    Decision Tree Algorithm is a part of supervised Machine Learning Algorithm. This algorithm is used for solving regression and classification problems just like other algorithms. This algorithm is basically used to predict the value from the passed trained data by applying learning decision rules. This is the most powerful algorithm among all as this algorithm can be easily visualized and understandable by the humans.

    Source: HOB
    17265
  • How AI is Powering E-Commerce

    Today, we see AI walking boldly across the corridors of any company, any industry, and any business-type. And although artificial, the technology has added a personal touch to the way we shop and trade. AI in e-commerce is enhancing the entire buy-sell experience for both buyers and sellers.

    Source: HOB
    7863
  • Which is the most Popular Deep Learning Framework?

    Deep Learning is a collection of algorithms used in machine learning. This is an approach used for building and training neural network. There are many frameworks like Tensorflow, Theono, Caffe, Torch and PyTorch.

    Source: HOB
    19656
  • The Big Fashion Retailer H&M is Leveraging AI and Big Data

    The big fashion brand H&M is betting on the technology Artificial Intelligence and Big Data to regain profitability. All the big brands are now coping with these technologies and maximizing their profit for the business so that they can stay longer in the market.

    Source: HOB
    11178
  • The Big Fashion Retailer H&M is Leveraging AI and Big Data

    The big fashion brand H&M is betting on the technology Artificial Intelligence and Big Data to regain profitability. All the big brands are now coping with these technologies and maximizing their profit for the business so that they can stay longer in the market.

    Source: HOB
    17685
  • How Wikipedia uses Artificial Intelligence?

    The non- profit organization Wikimedia Foundation supports Wikipedia and decided to use Artificial Intelligence to educate more about the issues so that they can overcome from it. Many researchers from BYU (Brigham Young University) were successful in giving common sense to the artificial intelligence agents with the help of Wikipedia.

    Source: HOB
    11169
  • Machine Learning Improving the Quality at Netflix

    As a subset of AI, machine learning leaves very few things untouched. Almost every domain that uses technology, finds itself using machine learning. Every company tries to retain their customers and estimates a budget that its algorithms will produce approx. $1billion a year same on Netflix very recommended video will see was selected by algorithms and here Machine Learning is used to improve the quality at Netflix.

    Source: HOB
    20955
  • Cognitive Computing Leads to Business Growth

    Computers are always been quicker than humans at consuming, calculating and computing data and artificial intelligence have benefited a boon for our global economy. Combining insights from computer science with cognitive science can advance human thought, shape outcomes in ways that transform the process of human capital development and enhance overall employee contributions and engagement.

    Source: HOB
    7995
  • Mathematical Pre-Requisites Required to Learn Machine Learning

    The most important thing you must know if you want to get succeed as a Machine Learning engineer is how you should deal with the most precious thing called "DATA". Data analysis is the most important thing that you need to master in order to proceed with Machine learning. Although it may sound surprising, unless you are able to analyze the data correctly, you cannot build a model to use on the data. Now Data analysis is a pretty big field in itself and to work on data analysis.

    Source: HOB
    18939
  • How Total Cost of Ownership can be Minimized in IoT Network?

    Companies moving towards Internet of Things (IoT) for their expansion and growth as well as increasing the scope and complexity of industrial control networks that frequently with traditional IT networks. Network operators are discovering a host of associated direct and indirect costs that can often exceed the initial investment in networking hardware.

    Source: HOB
    9936
  • Must Aware with the Capability of AI

    Much of the AI capability working its way into BI tools today isn't entirely new consumer technologies have been successfully implementing them for years. In fact, this is one of the strengths of artificial intelligence when applied to business intelligence the fact that users already understand intuitively how to use products like Google and Amazon making it easier for them to adopt those same technologies and interaction paradigms in BI tools

    Source: HOB
    22914
  • The Way How AI is Changing the Software Development

    AI is on radar next for most of the organisations and it is transforming all the business functions and software development as well. Not only machine learning techniques are used to accelerate the traditional software development lifecycle (SDLC) and this all represent new boundaries for inventing technology.

    Source: HOB
    15516
  • How Long the Latest Technology Machine learning will Help?

    Machine learning is having a huge impact in almost all the industries. From Google brain to self-driving cars all are made using a machine learning algorithm. It is currently growing and expanding rapidly and more and more people are learning it.

    Source: HOB
    7647
  • 100 Free Online Programming Language and Computer Science Courses at Intermediate Level- Part 2

    We have covered all the courses at a beginner level. As i have classified these courses on the basis of difficulty level. Here we have come up with 200 online programming language and computer science courses at an intermediate level.

    Source: HOB
    15645
  • 50 Data Science, Data sets that are more than amusing, Part-1

    This article list data sets from the data science world that you might find interesting.

    Source: HOB
    17067
  • 50 amusing Data Science Data sets part 2

    We covered 50 data sets for data scientists that are amusing in part 1. In part two we cover 50 more of those.

    Source: HOB
    6318
  • 50 amusing Data Science Data sets part 2

    50 data sets that data scientist find amusing.

    Source: HOB
    7614
  • 9 Free Online Books for Learning Data Mining and Data Analysis

    Whether you are learning data science for the first time or refreshing your memory or catching up on the latest trends in Data Mining, Data Analysis, these free books will help you excel through self-study.

    Source: HOB
    34509
  • Deployment of Smart AI-Applications In Business

    Artificial Intelligence allows many applications and services which we use on daily basis. As technological revolutions has become a norm in this era of innovation and Artificial Intelligence plays very crucial role in recent advancements. By using smart applications of artificial intelligence we can save real-time existing process and permitting data-driven decision making on a faster timeline. No one can deny its importance as big companies like Google, Facebook, Amazon and Microsoft are investing in AI technology.

    Source: HOB
    8976
  • How Organizations Are Using Machine Learning Platforms?

    Machine Learning algorithms enable software applications to predict more accurately outcomes. Most of the organizations use top machine learning platforms to build the models that can receive data from the various sources.

    Source: HOB
    14460
  • 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.

    Source: HOB
    102522
  • Learn the basic Linear Algebra and Math before going berserk on Machine Learning.

    Everyone wants to develop "skills in Machine Learning and AI" but few are willing to put in the hard yards to develop the foundational understanding of the relevant Math and CS

    Source: HOB
    12645
  • 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.

    Source: HOB
    17421
  • Online Courses, Reading Books & Watching Videos Are the Best Path to Start With Machine Learning

    To learn Machine learning is now evolving and everybody want to start their career in this hot topic. The Machine Learning adventure is quite interesting and highest paid job recently so if you are a begineer you can plan and start your career with the very ground level in Machine Learning.

    Source: HOB
    8457
  • Online Courses, Reading Books & Watching Videos Are the Best Path to Start With Machine Learning

    To learn Machine learning is now evolving and everybody want to start their career in this hot topic. The Machine Learning adventure is quite interesting and highest paid job recently so if you are a begineer you can plan and start your career with the very ground level in Machine Learning.

    Source: HOB
    4410
  • Gain Insights About Data Science With Popular YouTube Videos

    Data Science is the very vast term and it specifies that how will the specific method can be applied to data in a business setting. In this way, organizations use mathematics, statistics, predictive analytics, and artificial intelligence (including machine learning) to dig into cumbersome data sets in order to reveal trends. Data science is a product of big data through and through, and can be seen as a direct result of increasingly complex data environments.

    Source: HOB
    12993
  • The 30 Minute Guide To Crack Your Next Programming Language & Coding Interview

    Despite scoring decent grades in my Programming Language, Algorithm class and my Data Structures class in university, I shudder at the thought of going through a coding interview that focuses on algorithms.

    Source: HOB
    23457
  • List of Popular Questions To Crack Machine Learning Interview

    Now every second person wants to start his/her career in Machine Learning, Data Science as all are the highest paid fields. Machine Learning interview questions are the subpart of data science interview and this is the one way to gear up your career as data scientist, machine learning engineer or data engineer and many more.

    Source: HOB
    35205
  • List of Popular Questions To Crack Machine Learning Interview

    Now every second person want to start his/her career in Machine Learning, Data Science as all are the highest paid fields. Machine Learning interview questions are the subpart of data science interview and this is the one way to gear up your career as data scientist, machine learning engineer or data engineer and many more.

    Source: HOB
    13677
  • Understand How Artificial Intelligence And Big Data Are Interwinning Technologies?

    Working with technology industry, it's impossible to run away from the vast impact of Artificial Intelligence and Big Data analytics. At the same time it is quite difficult to figure out where one technology begins and the other takes over. While it is clear there is a connection between the two, understanding the manner in which Artificial Intelligence and Big Data work together to solve business and operational problems is a key part of using the technologies effectively.

    Source: HOB
    10095
  • Frequently Asked Deep Learning Questions During Interview Round By Professionals

    Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.

    Source: HOB
    24960
  • What Mistakes Are Usually Done By Organizations While Deploying Machine Learning?

    Machine learning offers organizations the potential to make more accurate data-driven decisions and to solve problems. Now organizations are leveraging the machine learning technology and this is not the magic it presents many of the same challenges as other analytics methods.

    Source: HOB
    18687
  • Machine Learning Can Reach Heights With These Algorithms

    Machine Learning Algorithms are those that can learn from data and improve from experience, without human intervention. Learning tasks may include learning the function that maps the input to the output, learning the hidden structure in unlabeled data where a class label is produced for a new instance by comparing the new instance (row) to instances from the training data, which were stored in memory.

    Source: HOB
    17835
  • The First Thought That Comes In Mind When We Think Of Artificial Intelligence?

    Artificial Intelligence is evolving day by day it's an algorithm which could not only learn from experience but could also transfer that knowledge from one very specific task to another. In fact, A.I breakthroughs have become sparse, and seem to require ever-larger amounts of capital, data and computing power.

    Source: HOB
    13743
  • The Three Pillars Of Deep Learning: History, Evolution And Growth

    Deep Learning is a subset of machine learning that deploys algorithms for data processing and imitates the thinking process and even develops abstractions. Deep learning uses layers of algorithms for data processing, understands human speech and recognizes objects visually. Deep Learning is feature extraction which uses an algorithm to automatically construct meaningful features of the data for learning, training and understanding.

    Source: HOB
    13914
  • Data Science The Backbone Of Artificial Intelligence

    Artifical Intelligence is a collection of data science technologies that at this point in development are not even particularly well integrated or even easy to use. In each of these areas however, we've made a lot of progress and that's caught the attention of the popular press.

    Source: HOB
    6186
  • Data Science The Backbone Of Artificial Intelligence

    Artifical Intelligence is a collection of data science technologies that at this point in development are not even particularly well integrated or even easy to use. In each of these areas however, we've made a lot of progress and that's caught the attention of the popular press.

    Source: HOB
    12342
  • Know How Artificial Intelligence Is Being Used By Google And Grammarly In Revamping The Writing Skills?

    Artificial Intelligence and Machine Learning algorithms powers the way of online editing tools such as Grammarly and grammar suggestions from Google Docs both aren't foolproof. Professionals use these tools to detect errors before they mistakenly get broadcast. To really appreciate the technology that makes these editing tools possible following are the impressive services that improves the way of our writing.

    Source: HOB
    12738
  • 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
    10383
  • 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
    5970
  • Future Through The Eyes Of Data Science

    Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.

    Source: HOB
    23394
  • Strengths and Weaknesses Of Modern Machine Learning Algorithms, Everyone Should Know

    Categorizing machine learning algorithms is tricky, and there are several reasonable approaches; they can be grouped into generative/discriminative, parametric/non-parametric, supervised/unsupervised, and so on.

    Source: HOB
    48555
  • 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
    11226
  • These Artificial Intelligence & Machine Learning Books Open The Door For Your Future

    Machine Learning has granted incredible power to humans. The power to run tasks in an automated manner, the power to make our lives comfortable, the power to improve things continuously by studying decisions at a large scale, and the power to create species who think better than humans. This list can go on and on.

    Source: HOB
    11742
  • Know How Data Science And Machine Learning Provide Financial Solutions To Companies?

    In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies.

    Source: HOB
    23199
  • The New Spy Tool For Fraud Detection: Machine Learning!!

    Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling. Fraud management has been painful for banking and commerce industry.

    Source: HOB
    31383
  • These Data Science & Machine Learning Tools Are The Helping Hand For Those Who Don't Know About Programming

    Programming is an integral part of data science. Among other things, it is acknowledged that a person who understands programming logic, loops and functions has a higher chance of becoming a successful data scientist.

    Source: HOB
    10089
  • Know How With Boosting Algorithm The Accuracy Of Machine Learning Model Can Be Increased?

    Tired of getting low accuracy on your machine learning models? Boosting is here to help. Boosting is a popular machine learning algorithm that increases accuracy of your model, something like when racers use nitrous boost to increase the speed of their car.

    Source: HOB
    16317
  • Know How With Boosting Algorithm The Accuracy Of Machine Learning Model Can Be increased?

    Tired of getting low accuracy on your machine learning models? Boosting is here to help. Boosting is a popular machine learning algorithm that increases accuracy of your model, something like when racers use nitrous boost to increase the speed of their car.

    Source: HOB
    6240
  • Technology The Cyber Security Strategy Demand: Big Data & Machine Learning

    As cyber threats continue to evolve, big data and machine learning are increasingly necessary for a strong cyber security strategy. Will Cappelli, vice president of research at Gartner, says that companies are combining big data and machine learning capabilities as part of a more powerful approach to cyber security.

    Source: HOB
    13503
  • What Are The Expected Advancement In The Technology "Artificial Intelligence"

    According to Forrester Research, Expect to see major changes in how organizations use AI, the rise of new 'digital workers' and increased competition for data professionals with AI skill.

    Source: HOB
    12750
  • What Level Of Mathematics Skill Is Required For Machine Learning?

    Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.

    Source: HOB
    10104
  • What Level Of Mathematics Skill Is Required For Machine Learning?

    Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.

    Source: HOB
    5793
  • When Big Data Join Hands With Machine Learning Leads To Much Smarter Decision

    Machine Learning and Big Data are the two popular terminologies and both are revolutionizing business operations and regularly providing lots of new opportunities. Machine Learning is presently more subject to practical, large-scale applications than it has ever been in past. Big data on the other hand, became a thing in 2013, after it was observed that 90 percent of the world's data was generated in past years.

    Source: HOB
    8535
  • Should Know These Top Data Mining Tools For Your Business

    Data is absolutely priceless and the new gold for all businesses. But it is not a cake walk to analyze it as greater things come at a greater cost. With the tremendous growth in data, we need a process to extract useful insights from the raw data.

    Source: HOB
    9228
  • How Cyber-Security Will Be Benefited By Data Science?

    As cyber threats continue to evolve, data Science and machine learning are increasingly necessary for a strong cyber security strategy. Data science is the field which includes processes and systems to extract knowledge and insights from data in various forms, which is a continuation of data analysis fields as statistics, data mining, and predictive analysis.

    Source: HOB
    8544
  • Machine Learning: Few Tips to Overcome Crooked Data

    Every computer system uses machine learning as it has refined their performance on a definite task. Machine learning is mainly the overview of algorithms and closely concomitant to computers statistics which mainly focuses on predictive analytics. These algorithms are used in many applications, however, they do not work competently with imbalanced datasets. If you have gone through machine learning and data science, you might have faced problems related to imbalanced data.

    Source: HOB
    8472
  • An Expansive overview of Genetic Algorithms

    Genetic Algorithms is a sub-division of Evolutionary algorithms which mainly works on evolution by natural selection. They are adaptive heuristic search algorithms that are inspired by Charles Darwins theory which is based on the evolutionary ideas of natural selection and genetics. Their invention leads to mummer some of the processes observed in natural evolution. To solve the optimization problem, they represent an intelligent exploitation of a random search.

    Source: HOB
    10773
  • Know How Businesses Are Gaining From Data Mining Techniques?

    Data mining techniques have advantages for several types of businesses, as well as there are more to be discovered over time. Since the era of the computer, things have been changing pretty quickly and every new step in the technology is equivalent to a revolution.

    Source: HOB
    5931
  • For A Perfect Data Scientist The Knowledge Of Algorithm Is Necessary

    The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.

    Source: HOB
    7839
  • How Machine Learning Algorithms Different From Traditional Algorithms?

    Machine learning is an algorithm or model that learns patterns in data and then predicts similar patterns in new data.

    Source: HOB
    9081
  • Importance Of Artificial Intelligence From Career Point Of View

    Artificial Intelligence, or simply termed as AI, as the name suggests, is the intelligence exhibited by the machines. By acquiring intelligence, although artificial, the machines will become capable of working and reacting like humans. Today, the artificial intelligence that exists is termed as narrow or weak AI.

    Source: HOB
    28557
  • Machine Learning Usually Face These Hurdles In Big Data Analytics!

    Machine Learning is the subset of Artificial Intelligence and all are the part of computer science. It is a data analysis tool that helps us in automating the tasks. Alternatively, it also provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Source: HOB
    14415
  • Top 50 Programming Language, Data Structure & Algorithms Phone Interview Questions with Answers

    It's 2018 now and from last few years, phone interviews also known as the telephonic round is the single most popular way to screen candidates in a programming language job interview.

    Source: HOB
    23901
  • Machine Learning Leads To Advancement, In The World Of Technology

    The technology is an essential piece of modern science and advancement in respect of empowering electronic gadgets and to perform on a scale. As we know the technology Machine Learning is in demand for last a decade and measure of development have been done in the earlier decade applying this technology. Most of the smart gadgets we are using today are the great result of this technology.

    Source: HOB
    8514
  • How can you maximize your business profits through business Intelligence?

    The main motive of every business is to earn a profit and correct decisions help you to attain effectively. Every leader of the business takes a number of decisions which have a great impact on the work in multiple ways. Therefore, to become a profitable organization the ultimate goal should be an effective decision. Business intelligence helps in the plans which are implemented successfully which is the foremost need of every business. New strategies and procedure of right planning are implemented by business intelligence. Data is being analyzed, stored and accessed by the technologies of business intelligence.

    Source: HOB
    7071
  • Businesses by Adopting Big Data Technologies Are Growing At A Robust Pace

    Businesses around the globe have incorporated big data in their operations to make sense of the seeming myriad data generated on a consistent basis. The adoption of big data technology and services has grown at a robust pace among end-use industries. As big data becomes more mainstream, and integration with cloud and artificial intelligence becomes more streamlined, further growth is projected.

    Source: HOB
    22017
  • How Cloud Will Elevate Data Science & Algorithms

    Ranked No. 1 overall as the best job in America by Glassdoor, data scientists have quickly risen in prominence and critical importance within organizations.

    Source: HOB
    7473
  • How to win over when duplicate content is distinctive: Human vs. Machine Intelligence

    Humans are far more expressive and these computerized technologies often lack common sense which mostly comes out naturally to humans which is more impressive than the machine learning algorithm. It has common content on various pages which produces duplicate content. More attractive is having differences in similar things! Humans face no problem in keeping these pages but algorithm neglect it as a duplicate. Though in this advanced world, human interaction is a bit less and there are several technologies which are enhanced to find the duplicate content.

    Source: HOB
    7443
  • How Chatbots, Algorithms, And AI Are Reshaping The Future Of Corporate Support Functions

    As advanced industrial companies continue to grow, support functions are coming under more and more pressure to deliver value, manage complexity, and reduce cost.

    Source: HOB
    9597
  • How Natural Language Processing Powered Education?

    Natural Language Processing (NLP) is a hot research area in artificial intelligence and computer science. The technology teaches machines to understand human language so they can more effectively communicate with us. NLP research is integrated with linguistics, context analysis, and semantics.

    Source: HOB
    8454
  • Know Why Data Science Moved Into Visualization and Machine Learning?

    Data visualization plays a very important part when it comes to communicating the results to the executives. You may have all your fancy formulae and other mechanics at coming to the results, but the executives want to see the results which make sense to them. From the raw data that you have from the various sources, you can get out with certain statistical properties and the sort of analysis that you do and that can then finally be represented in a really meaningful and very precise visual form.

    Source: HOB
    50997
  • Leverage Machine Learning To Business Problems

    The technology boom is surging, and machine learning is that the core method that companies are taking this once new technology and turning it into one thing wonderful. Here's a way to apply machine learning to your business issues and the way it will profit your company.

    Source: HOB
    12348
  • Types Of Edge Computing Required For Internet Of Things (IoT)

    The edge, and edge computing figure conspicuously in an exceeding heap of the internet of things (IoT) discussions straight away. however wherever and what the sting is incredibly quickly obtaining difficult.

    Source: HOB
    13311
  • How Companies Make Use Of Machine Learning To Drive Best Valuable Output?

    A machine learning business could very well be your best opportunity as an IT professional. That's because this unique area of the computer world is one that requires a great deal of specialized skill to navigate while at the same time being an essential part of much consumer computer activity. In other words, it's necessary but there are only so many people who can do it.

    Source: HOB
    20112
  • Evolution Of Data Science In Cybersecurity And Big Data Analytics!

    Data Science & Cybersecurity, what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about "data bots" as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage?

    Source: HOB
    13158
  • Aware With These Popular IoT Start-Ups In 2019

    Innovation is moving at a quick pace, and this net of Things marvel, or typically IoT, is connecting an associate ever-increasing range of gadgets. New school startups and designed up corporations are connecting gadgets to figure along, creating it straightforward to grasp.

    Source: HOB
    19113
  • Understanding The Term Data Mining Through Youtube Video!

    Data mining is the method of sorting through massive information sets to spot patterns and establish relationships to unravel issues through information analysis.

    Source: HOB
    14862
  • How Mastercard is Using Artificial Intelligence To Get Rid Of Fraud Practices?

    Having a card transaction declined at the checkout can be a frustrating and embarrassing occurrence. So much so that it can seriously damage brand loyalty according to research by Mastercard, a third of us have withdrawn our custom from a retailer due to our cards being refused.

    Source: HOB
    6876
  • Most Demanded IT jobs in 2019

    Due to the digital transformation, there are many IT jobs what will be more in demand and will be oriented towards high technology like AR, IoT, and artificial intelligence. For all these positions the demand for the workers who are qualified has increased which also includes the front-end developer and back-end developer, and many more positions which are not known. Here are some of the jobs which will be more in demand in the year 2109-2020.

    Source: HOB
    10566
  • Machine learning: How the world is getting developed?

    For you, machine learning might not be so catchy. But if you see computer is calculating the multitude of moves and possible countermoves. And artificial intelligence is about the visions of Skynet and the overload of inevitable robots is also rising. The truth of both artificial intelligence and machine learning is that it is not something which is far of future. At present it is here, the way we live, work and communicates, everything is getting in shaped and simplified and the decisions we make are also becoming easier.

    Source: HOB
    6216
  • How Businesses Are Taking Advantage Of Big Data Trends?

    The amount of data generated these days from all business domains conjointly called massive data is large, encompassing data gathering, data analysis, and data implementation method.

    Source: HOB
    8238
  • With These Books, Gain Knowledge About Statistical Learning For Data Scientist

    The selection process of data scientists at Google gives higher priority to candidates with strong background in statistics and mathematics. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science.

    Source: HOB
    10074
  • For becoming a successful R programmer, Read this article

    This programming language R is developed in 1993 and was R was conceived by professors Auckland University Ross Ihaka and Robert Gentleman. R language has methods of statistics and graphics. And these methods also comprises of the machine learning algorithm, time series, linear regression, interferences of statistical and many more.

    Source: HOB
    32229
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world. It is the Artificial intelligence tool Machine Learning is the buzzword created and is the next future of the world.

    Source: HOB
    114906
  • Artificial Intelligence tools: Ways to use them

    Artificial intelligence and machine learning are not just privileged by the international corporations anymore. The environment for small business also seems to be changed. According to data of Marketing Interactive, just under a third of all B2B companies will be using AI to enhance at least one of their primary sales processes by 2020.

    Source: HOB
    7476
  • MUST KNOW! Features of Automated Machine Learning

    When you are building with the models of machine learning, you follow some best practices which are time-consuming but the important process. There are so many things for doing ranging from: data is being prepared, algorithms are selected and trained, preparing algorithms, understanding how decisions are being made, all the way down to deploying models to production.

    Source: HOB
    6135
  • Grab Few Programming Languages On the Peak for Machine Learning

    These are the top 10 machine learning which might lead you towards good skills and vast opportunities for your career. All these languages are the highly rated machine learning repositories.

    Source: HOB
    30231
  • 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
    27810
  • Want to become a Machine Learning Engineer, Grab these 5 Skills which are Must

    The fine must have skills to become a Machine Learning Engineer are explained well here which may benefit you for making your future safe.

    Source: HOB
    23484
  • Beginners should give an attempt to these Machine Learning Books

    There are people who love reading books but can't buy them as it is not affordable for them. And the books which are related to machine learning and data science are not even cost-effective. This would be quite fair as writing the books take a lot of effort and hard work in publishing that particular piece.

    Source: HOB
    7260
  • How Do We Separate Machine Learning, Artificial Intelligence and Deep Learning?

    When we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.

    Source: HOB
    8160
  • Artificial Intelligence Is Making us Data Hoarders! Is it true?

    Artificial intelligence is getting emphasized by machine learning and deep learning. We are benefited through these approaches, as these are heavy data approaches. But the question is? We are getting hooked on data!

    Source: HOB
    6123
  • Improving Machine Learning Quality To Make Value For Business

    Before we venture off on our journey to improvise what is probably the biggest field of study, research, and development, it is only apt and fitting that we understand it first, even if at a very basic level.

    Source: HOB
    8262
  • Must Read: Courses that will Dive you Deep into the Deep Development of Deep Learning

    Learn deep, Acquire deep and Grab deep. Here you will get some courses which will take you to the way of deep learning, establish your career and gives you in-depth knowledge.

    Source: HOB
    6201
  • Learn At Home and Master Machine Learning through these Books

    Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition) Paperback Import, 8 Apr 2009

    Source: HOB
    9186
  • Tech Key Skills Required To Grab A Machine Learning Jobs In 2019-20

    Machine learning is one of the hottest new trends in the IT industry right now, and it is all set to gain prominence in the future tech industry.

    Source: HOB
    11235
  • See The Reinvention of World through Artificial Intelligence

    There is a very fast evolvement in the world with Artificial Intelligence and our lifestyle is also changing by it.

    Source: HOB
    6600
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    12993
  • Many Industries are Reorganised by Robotic Process Automation

    There are multiple tasks of the business which allowed by RPA for automating the process of business with the help of algorithms of machine learning and robotics. The way it works is that computer software or a robot can watch the way employees interact with a GUI and later emulate these actions in an automated process.

    Source: HOB
    5892
  • Why Artificial Intelligence Should Not Acquire Some Jobs?

    Machine learning and Artificial Intelligence abilities are expanding continuously with great heights.

    Source: HOB
    5556
  • Basic Understanding of Artificial Neural Networks

    An artificial neural network is a network which is designed to solve the complex problems.

    Source: HOB
    10923
  • Most Popular Free Courses To Learn Data Structures & Algorithms In Depth

    Data structures and algorithms are some of the most essential topics for programmers, both to get a job and to do well on a job. Good knowledge of data structures and algorithms is the foundation of writing good code.

    Source: HOB
    6408
  • How To Learn and Master Any Programming Language?

    Before getting started with any programming language, it's important for you as a learner to know What is the importance of learning any programming language.

    Source: HOB
    79353
  • Master Data Science: Top Courses By edX

    Here are some courses in Data Science which will take you to the real world of data science.

    Source: HOB
    6666
  • Power Of Learning Is Books: Artificial Intelligence and Machine Learning

    Some books will enhance your knowledge of learning with multiple key points.

    Source: HOB
    8562
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world.

    Source: HOB
    5811
  • Expand your knowledge with some Deep Learning Books

    Some books enhancing your deep learning studies and making your future learning more deep and meaningful.

    Source: HOB
    7452
  • Get your job in 90 days with some free Machine Learning Courses

    Here are some machine learning courses which will help you to begin your career at an earlier stage of learning.

    Source: HOB
    19044
  • Learn At Home and Master Machine Learning through these Books

    Books highlighting you with some machine learning content for fresher graduates as well as professionals.

    Source: HOB
    9300
  • Here is the Elementary Study of Deep Learning Algorithms

    Data is run by Deep learning algorithms through multiple layers of the algorithms of the neural network each of which passes a simplified representation of the data to the next layer.

    Source: HOB
    45156
  • 5 Must Read Books by every Programmer

    Reading the right book helps you provide a clear definite path and take off your stagnant career to a greater height.

    Source: HOB
    6360
  • Books which will give you in-depth knowledge and become proficient in Artificial Intelligence

    Some books giving you intense knowledge of artificial intelligence, and making you aware of it in depth.

    Source: HOB
    6321
  • Skills to Get a Job in Machine Learning and Earn More

    There are many people who are interested in machine learning these days. One thing is very clear that machine learning has arrived.

    Source: HOB
    8688
  • Certification in Data Science will Make You a Good Data Scientist

    So Data science is a fast-growing industry in terms of knowledge and job.

    Source: HOB
    5592
  • How To Prepare For Competitive Programming Language For Computing Olympiad & Win Gold?

    This is how I won 3 out of 4 Gold medals in the Computing Olympiad For Competitive Programming Language.

    Source: HOB
    13725
  • Crack Interviews- 7 Most Important Terms that Every Data Scientist Should Know

    The 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.

    Source: HOB
    7320
  • Which Country Produces The Best Programming Language Programmers & Engineers In The World?

    Many would assume it's the United States. After all, the United States is the home of programming language luminaries such as Bill Gates, Ken Thompson, Dennis Ritchie, and Donald Knuth.

    Source: HOB
    82911
  • Unpaid Courses makes you a keen learner of Machine Learning and Artificial Intelligence

    Some courses which are free from edX and will make your learning more influencing and interesting.

    Source: HOB
    6606
  • Recover your Data by Opting Best Data Recovering Software

    Backing up data has become a very important part of life since we do not want to lose that which we hold very dear to us.

    Source: HOB
    5250
  • How to make your Content more Engaging with the Viewers Through Artificial Intelligence?

    Artificial Intelligence has changed the way of consuming the content by customizing it.

    Source: HOB
    5403
  • What are some of the Most Important Machine Learning Interview Questions

    Cracking a Machine Learning interview is the hardest thing for any aspirant. For the same purpose, I have come up with this article to share with you a YouTube video of the most important questions that are asked in a Machine Learning Interview.

    Source: HOB
    7773
  • Machine Learning beginners should access these Books, Courses, and Tutorials before entering this field

    Some books, courses, and tutorials of machine learning for beginners which can help them to begin their journey with in-depth knowledge.

    Source: HOB
    10185
  • Companies Offering Internship for ML, AI and Data Science Freshers with a Good Stipend

    Internships are a great way to kickstart an individuals career. With the right opportunity at the right time, it becomes the starting point of one's fruitful career.

    Source: HOB
    15987
  • 6 Amazing Ways Artificial Intelligence is helping Society

    The benefits of using AI are large and are not limited to specific domains. With the help of this article, I have carved out the 6 most amazing benefits of AI which is helping society.

    Source: HOB
    6006
  • Top 15 Websites and Blogs to Learn Machine Learning

    Here are the top 15 websites that I have found amazing for years to learn Machine Learning.

    Source: HOB
    10674
  • Advise for Success: How Should I start my career in Machine Learning

    The future of Machine Learning is bright and if you have really thought over of getting your career started in Machine Learning than I must say -" You have made the right choice for your future". Here I have arrived with some of the most important points you need to successfully start your career.

    Source: HOB
    10908
  • A clear picture of C, C++, and Java through famous Websites

    Based on my brief tryst with programming, I strongly recommend the following websites for learning C, C++, and Java.

    Source: HOB
    108417
  • Clone your voice with Artificial Intelligence. Know about it

    Just 3.7 seconds and your voice is cloned- height to which AI innovations have reached today. A Chinese tech giant Baidu has recently announced that its AI system Deepvoice is able to imitate a person's voice in 3.7 seconds.

    Source: HOB
    5976
  • Why struggle for working in a Google as a Software Engineer? Some tips to easily crack the interview

    So this video will give you a glimpse of the experience of a man who worked at Google in Montreux as a software developer/software engineer for a little over a year.

    Source: HOB
    9435
  • Dive into the Complete Machine Learning Course from Scratch with this Video

    The set of algorithms and models that the computer uses to perform complex tasks without the intervention of any human is referred to as Machine Learning. Machine Learning makes computer system appear intelligent like human beings.

    Source: HOB
    5664
  • Get familiar with Deep-Learning Frameworks through these Books

    Deep Learning has become the most debated topic of the 21st century. A lot of students and professionals are really interested in learning Deep Learning.

    Source: HOB
    6201
  • 5 Best Online courses For every Beginner and Experienced in Machine Learning

    In this article, we will look at the top 5 online courses for Machine Learning. These courses are designed in a way that every beginner and professional can be benefitted from the course.

    Source: HOB
    11178
  • The 4th Industrial Revolution will dramatically change the way we live and behave. Get Ready for the Big shift!

    The term "The Fourth Industrial Revolution" was first coined by Klaus Schwab, founder and executive chairman of the Geneva-based W.E.F (World Economic Forum), in 2016.

    Source: HOB
    18381
  • Books which will be highlighting the Algorithms of Machine Learning

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

    Source: HOB
    7308
  • Keep in Mind some points before Learning Machine Learning

    Not sure which course you are referring to in particular. The general basics required for machine learning are here.

    Source: HOB
    6360
  • If You Are A Beginner Then Have Handy These Machine Learning Books To Gain Knowledge

    Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.

    Source: HOB
    7503
  • Data Science: A Team Spirit

    As data science has infused across nearly every imaginable field, the work of programmers, analysts, visualization specialists, and myriad other disciplines come together to form modern data science teams tackling society's grand challenges.

    Source: HOB
    7641
  • A series of Deep Learning breakthroughs which gears up Machine Learning field. How?

    By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.

    Source: HOB
    6867
  • Why Programming can be a great choice for your career?

    If you really love programming, you might want to make it your full-time career. You'll be able to make good money designing and coding programs, from low-level embedded systems all the way up to websites.

    Source: HOB
    5394
  • Have a clear concept of Data Science with these Books

    Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

    Source: HOB
    8310
  • Artificial Intelligence is going the Wrong way. Why?

    The Artificial Intelligence community failed to grasp the power of the mind, the most powerful intelligence in the universe because they used computational models.

    Source: HOB
    9213
  • A Strong Determination Of Machine Learning In 2K19

    Businesses are using machine learning to improve all the outcomes, by optimizing operational workflows and increasing customer satisfaction.

    Source: HOB
    7434
  • How TensorFlow can assist you to create Chatbots?

    Here is the video of Chatbots using TensorFlow which will give you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.

    Source: HOB
    7005
  • Top IoT Trends need to be focused ON in 2019

    Internet of Things was probably one of the obscure technologies at some point, when people were apprehensive about it, as they didn't know much about it.

    Source: HOB
    5538
  • Some Data Analytics programs which are affordable for every company

    To ensure effective implementation, one of the first things to prioritize is choosing the right data analytics software. A good place to start is getting to know the leading products in the niche by checking out the best data analytics software.

    Source: HOB
    8196
  • Free Tutorials on Machine Learning for a comprehensive learning

    Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies.

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    6303
  • Some Major Advantages of Machine Learning in Big Data Analytics

    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building.

    Source: HOB
    6465
  • Make Machine Learning Algorithms on your Tips

    Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.

    Source: HOB
    6600
  • How Data Scientists can easily develop themselves?

    A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.

    Source: HOB
    21231
  • Where can you start learning Data Science?

    Some easy resources from where beginners can start learning data science and its model for easy growth.

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    5964
  • Some cases where Artificial intelligence is boosting up the Financial Industry

    Over the last several years, the financial services industry has been focusing on how to use Artificial Intelligence (AI) to exceed customer expectations, reduce operational costs, and make smarter overall business decisions.

    Source: HOB
    5571
  • Practically Analyse the characteristics of Machine Learning and Artificial Intelligence

    Learn more about the differences between artificial intelligence and machine learning, along with the practical applications of these technologies.

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    11394
  • Few Factors which made Chatbot crowd-pleasing

    The growing popularity of chatbots has become a fact. For the past two years, companies have been more focused on creating them than ever before.

    Source: HOB
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