Instructional Material


Google cooks up a tasty update to Home with step-by-step recipe instructions

PCWorld

Google Assistant is already a great help in the kitchen when we need to convert something from pints to cups or remember to buy eggs on our next shopping trip. But with a new update to Google Home, it's graduating to full-on sous chef.


Python TensorFlow Tutorial - Build a Neural Network - Adventures in Machine Learning

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Google's TensorFlow has been a hot topic in deep learning recently. The open source software, designed to allow efficient computation of data flow graphs, is especially suited to deep learning tasks. It is designed to be executed on single or multiple CPUs and GPUs, making it a good option for complex deep learning tasks. In it's most recent incarnation – version 1.0 – it can even be run on certain mobile operating systems. This introductory tutorial to TensorFlow will give an overview of some of the basic concepts of TensorFlow in Python. These will be a good stepping stone to building more complex deep learning networks, such as Convolution Neural Networks and Recurrent Neural Networks, in the package. We'll be creating a simple three-layer neural network to classify the MNIST dataset. This tutorial assumes that you are familiar with the basics of neural networks, which you can get up to scratch with in the neural networks tutorial if required. To install TensorFlow, follow the instructions here. The code for this tutorial can be found in this site's GitHub repository. First, let's have a look at the main ideas of TensorFlow.


Apache Spark Online Course How To Learn Online

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This online course is designed to introduce you to the Spark platform and train you to use all the APIs it offers. This course is split into 8 interactive modules which cover over 7 Apache Spark topics with a Project at the end of the course – receive a certificate of completion at the end of the course.


Eight ways machine learning is already in your life

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A form of artificial intelligence, it allows computers to learn from examples rather than having to follow step-by-step instructions.




Learn Artificial Intelligence with these best selling courses

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We have put together a list of highly rated and most enrolled online courses on Artificial intelligence, machine learning, deep learning. The list will keep on increasing as and when we find more resources. Consider bookmarking this page and come back often to see newly added courses.


Learn under the hood of Gradient Descent algorithm using excel

@machinelearnbot

When I first started out learning about machine learning algorithms, it turned out to be quite a task to gain an intuition of what the algorithms are doing. Not just because it was difficult to understand all the mathematical theory and notations, but it was also plain boring. When I turned to online tutorials for answers, I could again only see equations or high level explanations without going through the detail in a majority of the cases.



Data visualisation & machine learning courses among most valued today - Times of India

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BENGALURU: The humongous amount of digital data being generated, and companies' need to glean insights and make predictions from them have made skills in data visualisation, data science, and machine learning among the most valued for technology recruiters today. This is reflected in the number of working professionals signing up for specialised courses in these spaces. Candidates who complete the courses tend to get between 20% and 50% increase in salaries. Kashyap Dalal, chief business officer at online learning platform Simplilearn, says that big data and analytics courses were the big growth drivers in the past three years. While data science continues to remain popular, accounting for 30% of all learners, courses on visualisation tools and machine learning have become very attractive over the past six months, he said. Almost 25% of Simplilearn's applicants have opted for machine learning. Machine learning reduces the need for human intervention and speeds up analysis, and with ...