£48.44

Chapman and Hall/CRC AlphaGo Simplified - Rule-Based AI and Deep Learning Book

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Description

Explore the evolution of artificial intelligence through the lens of legendary gaming matchups. This book traces the journey from the historic 1997 moment when IBM's Deep Blue defeated Garry Kasparov in Chess to the 2016 milestone where DeepMind's AlphaGo beat Lee Sedol in Go. While Deep Blue relied on traditional methods, AlphaGo introduced a new era driven by machine learning (ML) algorithms. This text helps readers understand the fundamental differences between these technologies. You will learn about the relationship between AI and machine learning, and how deep learning strategies changed the way machines approach complex games. Whether you are interested in the history of computing or the mechanics of modern algorithms, this book provides context on how machine learning became a driving force in game strategy. It is an essential resource for understanding the shift from rule-based systems to the advanced deep learning models used in today's AI landscape.

Key Features

Trace the history of AI from the Deep Blue chess victory in 1997 to the AlphaGo milestone in 2016.

Learn the fundamental differences between rule-based AI and modern machine learning algorithms.

Understand the specific role of deep learning in driving advanced game strategies.

Explore the relationship between artificial intelligence and machine learning technologies.

Gain insight into how AI has evolved to defeat world champions in complex games like Go.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
27 August 2024
Listed Since
22 February 2024

Barcode

No barcode data available

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