<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Géron, Aurélien on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/g%C3%A9ron-aur%C3%A9lien/</link><description>Recent content in Géron, Aurélien on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Fri, 22 Dec 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/g%C3%A9ron-aur%C3%A9lien/index.xml" rel="self" type="application/rss+xml"/><item><title>Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems</title><link>https://wijnandbaretta.com/books/hands-on-machine-learning-with-scikit-learn-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems/</link><pubDate>Fri, 22 Dec 2017 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/hands-on-machine-learning-with-scikit-learn-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems/</guid><description>&lt;h1 id="hands-on-machine-learning-with-scikit-learn-and-tensorflow"&gt;Hands-On Machine Learning with Scikit-Learn and TensorFlow&lt;/h1&gt;
&lt;h3 id="summary"&gt;Summary&lt;/h3&gt;
&lt;p&gt;&amp;ldquo;Hands-On Machine Learning with Scikit-Learn and TensorFlow&amp;rdquo; by Aurélien Géron provides a comprehensive guide to the practical aspects of machine learning. The book is designed to take the reader from basic principles to more advanced topics, offering hands-on experience with two powerful libraries: Scikit-Learn and TensorFlow. It includes detailed explanations of essential concepts such as supervised learning, unsupervised learning, neural networks, deep learning, and many other machine learning techniques. The book is structured to facilitate the understanding and application of machine learning concepts through numerous examples and exercises.&lt;/p&gt;</description></item><item><title>Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems</title><link>https://wijnandbaretta.com/books/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems/</link><pubDate>Thu, 10 Mar 2016 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems/</guid><description>&lt;h1 id="overview-of-hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems-by-aurélien-géron"&gt;Overview of &lt;em&gt;Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems&lt;/em&gt; by Aurélien Géron&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;&lt;em&gt;Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow&lt;/em&gt; by Aurélien Géron is a comprehensive guide to machine learning using practical Python-based tools and libraries. This book covers a wide range of machine learning topics, from fundamental concepts to more advanced deep learning and neural networks. The focus is on applying these concepts directly using popular libraries such as Scikit-Learn for traditional machine learning and Keras and TensorFlow for deep learning. Through hands-on projects and examples, Géron demystifies the process of building intelligent systems, making it accessible to readers with varying levels of expertise.&lt;/p&gt;</description></item></channel></rss>