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

paperback, 856 pages

Published Oct. 15, 2019 by O'Reilly Media.

ISBN:: 978-1-4920-3264-9

(1 review)

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 …

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 2Introduced the high-level Keras APINew and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more.

1 edition

Gabriel reviewed Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

Review of 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' on 'Goodreads'

5 stars

O livro é excelente para quem tem entendimento conceitual de cálculo e álgebra linear, e conhecimento prático de orientação a objetos em python. Para esse perfil o livro apresenta um balanço incrível entre exemplificação do uso e formalização da teoria, permitindo que as próximas leituras sejam apenas para amadurecimento.

A divisão dos capítulos do livro é muito bem pensada em termos de didática. Além disso a leitura é muito flúida fazendo do livro um excelente livro-texto e não apenas um livro de consulta, ainda que não deixe de sê-lo.

A nova edição aborda o Keras e deve tornar a leitura do livro ainda melhor.