网站内容均是收集整理自网络，作为学习交流使用，请勿用于商业用途。

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow 3rd Edition (Third)
english

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow 3rd Edition (Third)

作者：Aurélien Géron
114
10
ISBN：9781098125974
出版社：O’Reilly Media
发布时间：2022年11月
页数：850
更新时间：2025年2月13日
点击下载按钮会自动复制 提取码，跳转到下载页面后直接粘贴 即可
内容简介

《机器学习实战（原书第3版） : 基于Scikit-Learn、Keras和TensorFlow》的英文原版

Through a recent series of 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 best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.

Use scikit-learn to track an example machine learning project end to end

Explore several models, including support vector machines, decision trees, random forests, and ensemble methods

Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection

Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformers

Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning

Train neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI