Book Details
Format
Paperback
Pages
583
Language
English
Published
Oct 3, 2013
Publisher
Springer
ISBN-10
3662124076
ISBN-13
9783662124079
Description
This book delves into the principles and applications of machine learning, a key component of artificial intelligence. It offers readers a comprehensive overview of how machines can be trained to recognize patterns, make decisions, and improve performance over time without explicit programming.
The authors, renowned scholars in the field, articulate complex concepts with clarity, making the content accessible to both novices and experienced practitioners. With a thorough discussion of various learning algorithms, the text serves as an invaluable resource for those looking to understand the mechanisms that drive intelligent behavior in machines.
Readers will discover real-world applications where machine learning has transformed industries, providing insights into its potential to shape the future. Through case studies and practical examples, the book highlights the significance of learning in AI and encourages readers to explore the endless possibilities that this technology offers.
The authors, renowned scholars in the field, articulate complex concepts with clarity, making the content accessible to both novices and experienced practitioners. With a thorough discussion of various learning algorithms, the text serves as an invaluable resource for those looking to understand the mechanisms that drive intelligent behavior in machines.
Readers will discover real-world applications where machine learning has transformed industries, providing insights into its potential to shape the future. Through case studies and practical examples, the book highlights the significance of learning in AI and encourages readers to explore the endless possibilities that this technology offers.
Genres
Science & Technology
Philosophy
Contemporary
Psychology