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
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Advance from building a first program to building a neural network.
Source: Opensource10446
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: TC11166
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: Livemint14256
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 Review17967
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: TC11022
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: Kdnugget33216
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: Kdnugget21435
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: Kdnugget25926
There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.
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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: HOB23073
Looking for an inroad into the world of Artificial Intelligence and Machine Learning? Now you can access practical -- and free -- training from Google experts
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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.
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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: HOB11655
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: HOB10821
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: HOB36390
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: HOB10560
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: HOB15873
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: HOB7023
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: HOB15471
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: HOB22110
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.
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Here are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.
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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.
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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: HOB25023
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: HOB5952
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.
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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.
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The good point about these resources is that they are readily available online and are free to be used.
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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: HOB21075
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: HOB5139
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.
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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.
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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.
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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.
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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: HOB6276
Well-architected API on top of either Tensorflow or Theano and potentially extensible as a shim over other deep learning engines as well.
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Here are some videos of machine learning frameworks which are divided into 3 parts.
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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.
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As adoption of AI and machine learning increases amongst businesses, the number of software tools for developers has also grown.
Source: HOB5460
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.
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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: HOB7857
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: HOB20295
The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.
Source: HOB6573
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.
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Android is another platform that Google has focused upon and their efforts are clearly visible - Android occupies more than 87.9 % market share.
Source: HOB4425
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.
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Machine Learning is invading this world gradually and gradually. If we can develop a driverless car then it is Machine Learning.
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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.
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Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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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.
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In this article, you will get to know some of the best frameworks to get you started with AI development.
Source: HOB5949
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: HOB9477
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.
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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: HOB6084
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: HOB4761
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.
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PyTorch's key features will be explained and compare it to the current most popular deep learning framework in the world (Tensorflow).
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Here are some resources to learn deep learning frameworks.
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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.
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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.
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Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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Let's check out what are the 5 must-have skills to become a machine learning engineer.
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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: HOB4578
Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth.
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The arrival of artificial intelligence promises the Intelligence Explosion - where singularity would lead to an exponential increase in A.I. capabilities.
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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.
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Machine learning is exploding, with smart algorithms being used everywhere from email to smartphone apps to marketing campaigns.
Source: HOB4701
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide.
Source: HOB5187
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.
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Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing.
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Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
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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.
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Learn to train and assess models performing common machine learning tasks such as classification and clustering.
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Some Deep Learning Framework tutorials to which will boost your knowledge in this field.
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You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.
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Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.
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Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
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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: HOB4635
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: HOB4635
Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
Source: HOB3840
Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.
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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.
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Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell
Source: HOB4497
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: HOB3858
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: HOB6609
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.
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Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.
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Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.
Source: HOB3096
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: HOB3780
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: HOB3249
Over the past many years, the Artificial Intelligence revolution has provided a quality response to the different range of technologies.
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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: HOB3168
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far.
Source: HOB3432
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