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: Opensource6462
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: TC7416
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: Livemint10179
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 Review11745
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: TC7206
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: Kdnugget22110
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: Kdnugget14898
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: Kdnugget19212
There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.
Source: HOB11304
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: HOB17688
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: HOB8412
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: HOB7467
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: HOB7593
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: HOB5922
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: HOB27522
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: HOB6264
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: HOB4980
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: HOB1380
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: HOB9696
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: HOB12435
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: HOB5835
Here are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.
Source: HOB2124
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: HOB14445
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: HOB11484
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: HOB1293
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: HOB6591
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: HOB3660
The good point about these resources is that they are readily available online and are free to be used.
Source: HOB7803
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: HOB1044
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: HOB1224
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: HOB4461
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: HOB1050
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.
Source: HOB1578
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: HOB1482
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