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  • Build your own machine-learning-powered robot arm using TensorFlow and Google Cloud

    At Google I/O 2017 and Cloud Next 2017, we exhibited a demo called Find Your Candy, a robot arm that listens for a voice request with your preferred flavor of candy, selects and picks up a piece of candy with that particular flavor from a table, and serves it to you

    Source: Google Cloud Platform
    14970
  • Resources for getting started with Python and machine learning

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

    Source: Opensource
    11937
  • Google's Tensor2Tensor makes it easier to conduct deep learning experiments

    Google's brain team is open sourcing Tensor2Tensor, a new deep learning library designed to help researchers replicate results from recent papers in the field and push the boundaries of what's possible by trying new combinations of models, datasets and other parameters.

    Source: TC
    12333
  • Google banks on artificial intelligence tools for its return to China

    Google is actively promoting TensorFlow, software that makes it easier to build artificial intelligence (AI) systems, as a way to forge business ties in China.

    Source: Livemint
    15594
  • 2017: The Year AI Floated into the Cloud

    Cloud computing is already a huge business, and competition is stiff. But this year, tech firms opened a new front in the battle to win users over in the cloud: the large-scale introduction of cloud-based AI.

    Source: MIT Technology Review
    19527
  • Google's custom TPU machine learning accelerators are now available in beta

    Google's Tensor Processing Units (TPUs), the company's custom chips for running machine learning workloads written for its TensorFlow framework, are now available to developers.

    Source: TC
    12297
  • 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
    36372
  • 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
    22800
  • Top 20 Deep Learning Papers, 2018 Edition

    Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.

    Source: Kdnugget
    27603
  • A "Weird" Introduction to Deep Learning

    There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

    Source: HOB
    18954
  • Is Google Tensorflow Object Detection API the Easiest Way to Implement Image Recognition?

    There are many different ways to do image recognition. Google recently released a new Tensorflow Object Detection API to give computer vision everywhere a boost.

    Source: HOB
    24588
  • The Machine Learning Crash Course (MLCC) Study Jam series comes to India

    Looking for an inroad into the world of Artificial Intelligence and Machine Learning? Now you can access practical -- and free -- training from Google experts

    Source: HOB
    15696
  • 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
    20715
  • 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
    12918
  • 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.

    Source: HOB
    12183
  • 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.

    Source: HOB
    39519
  • 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
    11826
  • Get Ready With These Artificial Intelligence Questions To Crack Your Interview

    Professionals have been interviewing in various top companies for Artificial Intelligence job interview. In that process, not only they get an opportunity to interact with many great minds, but also had a peek with a sense of what people really look for when interviewing someone. I believe that if I'd had this knowledge before, I could have avoided many mistakes and have prepared in a much better manner, which is what the motivation behind this post is, to be able to help someone bag their dream place of work.

    Source: HOB
    19131
  • Get Ready With These Artificial Intelligence Questions To Crack Your Interview

    Professionals have been interviewing in various top companies for Artificial Intelligence job interview. In that process, not only they get an opportunity to interact with many great minds, but also had a peek with a sense of what people really look for when interviewing someone. I believe that if I'd had this knowledge before, I could have avoided many mistakes and have prepared in a much better manner, which is what the motivation behind this post is, to be able to help someone bag their dream place of work.

    Source: HOB
    9495
  • 9 Important Things You Should Know About TensorFlow

    This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What's New with TensorFlow?

    Source: HOB
    17298
  • How DevOps Play Crucial Role For Data Science?

    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
    24411
  • Deep Learning An Emerging Field, Get Learn With These Popular Youtube Videos

    deep learning was only an emerging field and only a few people recognized it as a fruitful area of research. But soon it gained momentum and is used today for several applications. Speech recognition, image recognition, finding patterns in a dataset, object classification in photographs, character text generation, self-driving cars and many more. Hence it is important to be familiar with deep learning and its concepts.

    Source: HOB
    13386
  • Courses which can enhance your skills in deep learning and artificial intelligence

    Here are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.

    Source: HOB
    7680
  • What Common Programming Languages Come To Our Mind When We Think Of Machine Learning?

    People are a little bit confused that which programming language they should learn and they follow. The answer is also difficult that which one should be ranked one so that everyone can focus on the languages. Here are programming languages used for machine learning according to my personal experience as a programmer.

    Source: HOB
    23427
  • High In-Demand Programming Language Frameworks & Tools For Machine Learning Engineers

    More than 1,300 people mainly working in the tech, finance, and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

    Source: HOB
    29697
  • Learn Computer Vision With These Top Class Books

    This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.

    Source: HOB
    7593
  • Most Popular 10 Free Courses For Machine Learning & Data Science

    Here are 10 machine learning courses to help with your spring learning season. Courses range from introductory machine learning to deep learning to natural language processing and beyond.

    Source: HOB
    18360
  • Why Learning Convolutional Neural Networks is important in Computer Vision?

    Convolutional Neural networks make it possible for machines to visualize world like humans and thus becomes an important concept to learn while working in Computer vision.

    Source: HOB
    15066
  • Recommended- The Best Online Resources for Artificial Intelligence and Machine Learning

    The good point about these resources is that they are readily available online and are free to be used.

    Source: HOB
    15801
  • Which are the Best Books on Reinforcement Learning

    Books are always the best sources to explore while learning a new thing. Reinforcement Learning has finds its huge applications in recent times with categories like Autonomous Driving, Computer Vision, Robotics, Education and many others. Here are some best books on Reinforcement Learning that you can easily find on Amazon

    Source: HOB
    27969
  • Learning Artificial Intelligence with these online courses is a Need and a necessity of Today

    Businesses will be left behind who will not use AI in their business strategies. Also, the education sector has realized the potential that AI can have in the future, so have started to imparting education about AI from the school level.

    Source: HOB
    6555
  • Recommended: Top 4 Popular YouTube Channels to Master Data Science

    Because we are humans and have more inclination towards visualization and interaction, learning from videos is the best thing that we can do to ourselves. For this regard I have come up here with the 10 most popular YouTube videos on Data Science to kick start off your career in Data Science.

    Source: HOB
    24075
  • Game of Thrones is brought into play through Machine learning. See. How?

    This is a new example of style transfer where ML identifies the essential characteristics of a genre in order to create its own examples, such as we've seen before with art and even with cooking.

    Source: HOB
    6924
  • Learning Artificial Intelligence is made easy now. Explore how

    As if there are many platforms to learn AI, but what I found with many platforms that most of them are not free, you have to pay some penny.

    Source: HOB
    6612
  • Order a bundle having 8 courses, 506 lessons, and 2839 enrollment through which you can also master in Machine Learning

    This bundle helps you dive in, with over 400 video tutorials on machine learning and data science. The lessons show you how to build machine learning algorithms and neural networks, using popular frameworks such as TensorFlow and Keras.

    Source: HOB
    7098
  • Learning to create a chatbot? Follow this YouTube video

    Chatbots are of immense importance in the present times where using chatbots majority of the tasks in the companies like promotional campaigns, branding, customer services and queries are easily handled using chatbots.

    Source: HOB
    8022
  • Learn the Different Frameworks of Deep Learning- Keras, Pytorch, Theano, TensorFlow and easily Compare them

    Well-architected API on top of either Tensorflow or Theano and potentially extensible as a shim over other deep learning engines as well.

    Source: HOB
    16863
  • If you have confusion that which ML framework would work for you? See Machine Learning Frameworks Analysed deeply in these videos

    Here are some videos of machine learning frameworks which are divided into 3 parts.

    Source: HOB
    6765
  • 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
    6804
  • Developers should be aware of famous Artificial Intelligence and Machine Learning Tools

    As adoption of AI and machine learning increases amongst businesses, the number of software tools for developers has also grown.

    Source: HOB
    7047
  • Demonstration of Deep Learning models Apache, Sparx, and TensorFlow

    Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.

    Source: HOB
    5142
  • Demonstrating Deep Learning Models Apache, Spark, and TensorFlow

    Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.

    Source: HOB
    10218
  • What are neural networks and what are its advantages and disadvantages?

    Artificial Neural Networks work on the basis of the structure and functions of a human brain. Like the human brain has neurons interconnected to each other, neural network systems additionally has neurons that are interconnected to each other in various layers of the system.

    Source: HOB
    26034
  • 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
    7869
  • Clear your fundamentals with some Artificial Intelligence Courses

    Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Here are some courses which will make you aware of everything about this technology.

    Source: HOB
    8112
  • How Android users will be easily Fascinated by Artificial Intelligence?

    Android is another platform that Google has focused upon and their efforts are clearly visible - Android occupies more than 87.9 % market share.

    Source: HOB
    5682
  • Demanding Books on Artificial Intelligence

    Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly.

    Source: HOB
    7425
  • Leveraging some NEW books of Machine Learning

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

    Source: HOB
    7737
  • 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
    7584
  • Tutorial of Pytorch: A Deep Learning Model

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    6819
  • 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
    7779
  • Learning the Top Artificial Intelligence Frameworks

    In this article, you will get to know some of the best frameworks to get you started with AI development.

    Source: HOB
    7707
  • Some key points that separate the Deep Learning Frameworks Keras, PyTorch, and TensorFlow

    Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.

    Source: HOB
    12183
  • A key to own a successful career in Data Science

    Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.

    Source: HOB
    13149
  • Higher Level Courses of Machine Learning enables your Certifications

    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

    Source: HOB
    7515
  • Some Famous Deep Learning Frameworks

    Fortunately, some brilliant minds have created and generously open-sourced several deep learning frameworks that can be easily integrated by people with little to no knowledge of machine learning technology.

    Source: HOB
    6213
  • Beginners should use Keras for Creating Deep Learning models

    Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures.

    Source: HOB
    5997
  • How about learning Deep Learning tool PyTorch?

    PyTorch's key features will be explained and compare it to the current most popular deep learning framework in the world (Tensorflow).

    Source: HOB
    5238
  • What are the ways you can learn different Deep Learning Frameworks?

    Here are some resources to learn deep learning frameworks.

    Source: HOB
    7470
  • Learning the Top 5 Machine Learning Tools from some famous books

    Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Here are some famous machine learning tools to learn from some famous books.

    Source: HOB
    5979
  • Job Outlook may be open for every Data Scientist after learning these courses

    Some professional courses with a higher-level certificate for all the data scientist which may open the perspective of every beginner as well as professional.

    Source: HOB
    6750
  • Is it so difficult to learn TensorFlow Deep Learning Framework? This Youtube Video will help you in better Learning

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    12507
  • How you can become a known Machine Learning Engineer with these top skills?

    Let's check out what are the 5 must-have skills to become a machine learning engineer.

    Source: HOB
    5751
  • A TensorFlow machine learning platform is brought up by Google for machine learning practitioners

    Google today introduced Neural Structured Learning (NSL), an open-source framework that uses the Neural Graph Learning method for training neural networks with graphs and structured data.

    Source: HOB
    6312
  • Learn Top Online Deep Learning Courses to have good hands-on Algorithms

    Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth.

    Source: HOB
    6582
  • Trending Youtube Videos showing an exponential increase in A.I. capabilities

    The arrival of artificial intelligence promises the Intelligence Explosion - where singularity would lead to an exponential increase in A.I. capabilities.

    Source: HOB
    5529
  • These Books introduce you to a career in Machine Learning

    Machine Learning with AWS is the right place to start if you are a beginner interested in learning uses artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform.

    Source: HOB
    6696
  • Machine Learning can be a strong career option for the future

    Machine learning is exploding, with smart algorithms being used everywhere from email to smartphone apps to marketing campaigns.

    Source: HOB
    6201
  • Learning for Deep learning Framework: TensorFlow

    Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide.

    Source: HOB
    6744
  • Google improve its facial recognition technology and the new TensorFlow 2.0 has been released

    Facial recognition datasets are unfairly dominated by images of white men, so Google hired third-party contractors to go around recording people's faces by offering them vouchers.

    Source: HOB
    8619
  • Have good hands-on Apache Spark: Deep Learning Framework

    Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing.

    Source: HOB
    8346
  • Some courses which will help you to master Deep Learning

    Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

    Source: HOB
    5745
  • Deep Learning Books beginners should note

    An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

    Source: HOB
    5697
  • Online Machine Learning Courses with Verified Certificates

    Learn to train and assess models performing common machine learning tasks such as classification and clustering.

    Source: HOB
    5823
  • Must watch some Deep Learning Tutorials on Youtube

    Some Deep Learning Framework tutorials to which will boost your knowledge in this field.

    Source: HOB
    6225
  • Machine Learning Books that beginners should focus on

    You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.

    Source: HOB
    8181
  • How about getting in touch with some online Machine Learning Courses?

    Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.

    Source: HOB
    6873
  • How about using some of the books to learn Machine Learning Algorithms?

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

    Source: HOB
    6702
  • Grasp Deep Learning Neural networks through some of these books

    Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.

    Source: HOB
    6360
  • Make the learning process easy through these Artificial Intelligence Courses

    AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone especially your non-technical colleagues to take.

    Source: HOB
    6162
  • Get specialized in Deep Learning with these Online Courses

    Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

    Source: HOB
    5106
  • Learn how to apply Deep Learning with PyTorch and TensorFlow

    Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.

    Source: HOB
    5553
  • Skills Machine Learning Engineer Must have

    Machine learning is all about making computers to perform intelligent tasks without explicitly coding. This is achieved by training the computer with lots and lots of data.

    Source: HOB
    7053
  • Famous books for learning Apache Spark

    Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell

    Source: HOB
    6795
  • Some directly approachable Books of Deep Learning

    Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.

    Source: HOB
    5457
  • Compare these Deep Learning Frameworks: Keras vs TensorFlow vs PyTorch

    Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.

    Source: HOB
    9363
  • Refer these books to have a thorough knowledge of Artificial intelligence

    These books provide multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

    Source: HOB
    5229
  • Understand the major technology trend driving Deep Learning, through these courses

    Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.

    Source: HOB
    6366
  • Some Deep Learning courses to keep in mind

    Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.

    Source: HOB
    4662
  • Determining the growth of Machine Learning with these Books

    Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data

    Source: HOB
    5265
  • Machine learning can be of good use in the near future

    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

    Source: HOB
    4725
  • Some major reasons that gave rise to AI Revenue

    Over the past many years, the Artificial Intelligence revolution has provided a quality response to the different range of technologies.

    Source: HOB
    4935
  • Why one should learn Python Language?

    Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages.

    Source: HOB
    4668
  • Deeply learn from these Deep Learning Books

    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far.

    Source: HOB
    5481
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