Download the fantastic book titled Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Hands On Machine Learning with Scikit Learn Keras and TensorFlow", which was released on 05 September 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Hands On Machine Learning with Scikit Learn Keras and TensorFlow by Aurélien Géron PDF
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. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Detail About Hands On Machine Learning with Scikit Learn Keras and TensorFlow PDF
- Author : Aurélien Géron
- Publisher : O'Reilly Media
- Genre : Computers
- Total Pages : 851 pages
- ISBN : 1492032611
- Release Date : 05 September 2019
- PDF File Size : 45,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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