Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron

Book Reviews

  • 4 books to get started with machine learning: • Naked Statistics https://t.co/WcifFssR8y • Python Crash Course https://t.co/ubCtiiRRGg • The Hundred-Page Machine Learning Book https://t.co/TyKI1EzzzD • Hands-on Machine Learning https://t.co/iSqQPqLzgH https://t.co/mrhozVrXZVLink to Tweet
  • Here are 4 of my favorite books. Together they provide a pretty comprehensive view into the world of deep learning. • https://t.co/Oal8LV8OJ9 • https://t.co/92n2SKA1wP • https://t.co/mNeR5GEzqs • https://t.co/WMm2ixlL2n It doesn't matter where you are; these will help. https://t.co/QAANA1qRW6Link to Tweet
  • So @aureliengeron's book is 1st in neural nets sales, & ours (with @GuggerSylvain) is 2nd. But also ours is 4th & his is 5th. So it's a tie?!? (In all seriousness, Aurélien's book is amazing and also he helped us a *lot* with our book!) https://t.co/9H2dKYsDOZLink to Tweet
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow By Aurélien Géron link: https://t.co/8UW8nhvtAo https://t.co/buIcRk8OauLink to Tweet

About Book

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. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow 2-to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using 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. NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2 ; Introduced the high-level Keras API ; New and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more With Early Release ebooks, you get books in their earliest form-the author's raw and unedited content as he or she writes-so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.