Description: About this Item The item is a book Paperback The Author Name is Mark Liu The Title is AlphaGo Simplified : Rule-Based AI and Deep Learning in Everyday Games Condition New Other Comments Edition Number - 0001. Edition_description - . Pages Count - 408. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / General COMPUTERS / Business & Productivity Software / Business Inte COMPUTERS / Programming / Games Product Description - May 11, 1997, was a watershed moment in the history of artificial intelligence AI: the IBM supercomputer chess engine, Deep Blue, beat the world Chess champion, Garry Kasparov. It was the first time a machine had triumphed over a human player in a Chess tournament. Fast forward 19 years to May 9, 2016, DeepMinds AlphaGo beat the world Go champion Lee Sedol. AI again stole the spotlight and generated a media frenzy. This time, a new type of AI algorithm, namely machine learning ML was the driving force behind the game strategies. What exactly is ML How is it related to AI Why is deep learning DL so popular these days This book explains how traditional rule-based AI and ML work and how they can be implemented in everyday games such as Last Coin standing, Tic Tac Toe, or Connect Four. Game rules in these three games are easy to implement. As a result, readers will learn rule-based AI, deep reinforcement learning, and more importantly, how to combine the two to create powerful game strategies the whole is indeed greater than the sum of its parts without getting bogged down in complicated game rules. Implementing rule-based AI and ML in these straightforward games is quick and not computationally intensive. Consequently, game strategies can be trained in mere minutes or hours without requiring GPU training or supercomputing facilities, showcasing AI's ability to achieve superhuman performance in these games. More importantly, readers will gain a thorough understanding of the principles behind rule-based AI, such as the MiniMax algorithm, alpha-beta pruning, and Monte Carlo Tree Search MCTS, and how to integrate them with cutting-edge ML techniques like convolutional neural networks and deep reinforcement learning to apply them in their own business fields and tackle real-world challenges. Written with clarity from the ground up, this book appeals to both general readers and industry professionals who seek to learn about rule-based AI and deep reinforcement learning, as well as students and educators in computer science and programming courses. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167437881
Price: 74.91 USD
Location: US
End Time: 2024-12-22T11:55:21.000Z
Shipping Cost: N/A USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Artificial Intelligence / General
Brand: Taylor & Francis Ltd
Weight: 0.57
Style: NA
Title: AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday
Release Title: AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday
Colour: NA
Material: NA
Department: NA
Movie/TV Title: AlphaGo Simplified Rule-Based AI and Deep Learning in Everyday
UPC: 9781032722122
EAN: 9781032722122
ISBN: 9781032722122
Binding Type: Perfect
Item Height: 21.34
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 406 Pages
Language: English
Publication Name: Alphago Simplified : Rule-Based Ai and Deep Learning in Everyday Games
Publisher: CRC Press LLC
Subject: Programming / Games, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, General
Publication Year: 2024
Type: Textbook
Subject Area: Computers, Science
Item Length: 9.2 in
Author: Mark Liu
Item Width: 6.1 in
Format: Trade Paperback
