Graphics in this book are printed in black and white.
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 TensorFlow—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 TensorFlow 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
Apply practical code examples without acquiring excessive machine learning theory or algorithm details
Designing for Networked Communications: Strategies and Development Designing for Networked Communications: Strategies and Development is a book about how we plan, use, and understand the products, dynamic social processes, and tasks upon which depend some of the most vital innovations in the knowledge society—social as well as technological ones. Focusing on various forms of design, implementation, and... iOS 6 Recipes: A Problem-Solution Approach
iOS 6 Recipes: A Problem-Solution Approach is your code reference and guide to developing solutions on iPad, iPhone, and other iOS 6 SDK devices and platforms. This book provides in-depth code samples and discussions for scenarios that developers face every day. You'll find numerous examples of real-world cases...
Mac for Linux Geeks (Expert's Voice in Open Source) Some might say we all want Linux with an OS X GUI. Mac for Linux Geeks will assist you step by step in migrating from Linux–based systems to OS X. Dual booting, virtualization, and building out the Linux environment on OS X are discussed in detail, along with a comparative view of well–known Mac tools and their open source...