Hands-On Machine Learning with Scikit-Learn and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurelien Geron
Editor: O’Reilly Media, Inc, USA
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Through a series of recent discoveries, in-depth learning has stimulated the whole field of machine learningNow, even programmers who know almost nothing about this technology can use effective tools to implement programs capable of learning from dataPractical, this book shows you how toUsing concrete examples, a minimum of theory, and two production-ready Python frames-scikit-learn and TensorFlow-author Aurélien Geron helps you acquire an intuitive understanding of concepts and tools for building intelligent systemsYou will learn the most varied techniques, ranging from a simple linear regression and to progress in depth neural networksWith the exercises in each chapter to help you apply what you’ve learned, you need programming experience to get started.Explore the machine landscape of training, especially neural networks Using scikit-learn to track an example of learning-machine end-to-end project Explore multiple training models, including support vector machines, random forest decision trees, and a set of methods Using the TensorFlow library to build and train neural networks Plunge into the network
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