Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
ISBN-13:
9780134610993
ISBN-10:
0134610997
Edition:
4
Author:
Stuart Russell, Peter Norvig
Publication date:
2020
Publisher:
Pearson
Format:
Hardcover
1136 pages
Category:
AI & Machine Learning
,
Computer Science
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Book details
ISBN-13:
9780134610993
ISBN-10:
0134610997
Edition:
4
Author:
Stuart Russell, Peter Norvig
Publication date:
2020
Publisher:
Pearson
Format:
Hardcover
1136 pages
Category:
AI & Machine Learning
,
Computer Science
Summary
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence) (ISBN-13: 9780134610993 and ISBN-10: 0134610997), written by authors
Stuart Russell, Peter Norvig, was published by Pearson in 2020.
With an overall rating of 3.9 stars, it's a notable title among other
AI & Machine Learning
(Computer Science) books. You can easily purchase or rent Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence) (Hardcover) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $92.8.
Description
The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence
The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.
The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.
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