Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

by Mariette Awad, Rahul Khanna, Andy Khanna

Efficient Learning Machines explores all the major topics of machine learning, including big data, knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and gaming theory. The authors' synthetic approach weaves together theoretical exposition, design principle, and practical application. Their experiential emphasis, expressed in close analysis of sample algorithms throughout the book, aims to equip the reader to design and create new and more efficient systems.

Genres: Artificial Intelligence

287 pages, Paperback

First published February 1, 2015

Reviews

[Don-E Merson]

I will need to reread this puppy again. It is very think with information.