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 Tensor Flow—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 Tensor Flow 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.
✔ Author(s): Aurélien Géron
✔ Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
✔ Rating : 4.8 out of 5 base on (3298 reviews)
✔ ISBN-10: 1492032646
✔ ISBN-13: 9781492032649
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Hands by Aurélien Géron
Kara Snyder
The plot twists were executed masterfully. I was left gasping at every unexpected turn, and the suspense kept me on edge throughout. Bravo to the author for keeping me guessing.
Iris Watts
I couldn't stop raving about this book to my friends and family. It's a literary gem that deserves all the praise. I can't wait to dive into more works by this talented author.
Tasha Cobbett
The characters in this book felt like old friends, and I was sad to say goodbye to them at the end. It's a testament to the author's talent for creating memorable and relatable personas.
