S$215.54
  • + S$24.18 Delivery
Arrives: 10 - 12 May
In stock.
Ships from and sold by Amazon US.
Artificial Intelligence: ... has been added to your Cart
Have one to sell?

Artificial Intelligence: A Modern Approach Hardcover – 10 November 2020

5.0 out of 5 stars 1 rating

See all formats and editions Hide other formats and editions
Amazon Price
New from Used from
Hardcover
S$215.54
S$215.54
US imports may differ from local products. Additional terms apply. Learn More.

Amazon International Store

  • International products have separate terms, are sold from abroad and may differ from local products, including fit, age ratings, and language of product, labeling or instructions.
  • Manufacturer warranty may not apply.
  • Learn more about Amazon International Store.

Enhance your purchase


Amazon International Store

  • International products have separate terms, are sold from abroad and may differ from local products, including fit, age ratings, and language of product, labeling or instructions.
  • Manufacturer warranty may not apply.
  • Learn more about Amazon International Store.
click to open popover

Frequently bought together

  • Artificial Intelligence: A Modern Approach
  • +
  • Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • +
  • Deep Learning
Total Price: S$342.49
Buy the selected items together
Best books of 2020
See top titles of the year

Product details

  • Language : English
  • Hardcover : 1152 pages
  • ISBN-10 : 0134610997
  • ISBN-13 : 978-0134610993
  • Customer reviews:
    5.0 out of 5 stars 1 rating

Product description

About the Author

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow. He held the Chaire Blaise Pascal in Paris from 2012 to 2014. He has published over 300 papers on a wide range of topics in artificial intelligence. His other books include: The Use of Knowledge in Analogy and Induction, Do the Right Thing: Studies in Limited Rationality (with Eric Wefald), and Human Compatible: Artificial Intelligence and the Problem of Control. Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are: Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX. The two authors shared the inaugural AAAI/EAAI Outstanding Educator award in 2016.

No customer reviews

5.0 out of 5 stars
5 out of 5
1 rating
5 star 100% (100%) 100%
4 star 0% (0%) 0%
3 star 0% (0%) 0%
2 star 0% (0%) 0%
1 star 0% (0%) 0%
How are ratings calculated?

Review this product

Share your thoughts with other customers

No customer reviews

There are 0 customer reviews and 1 customer rating.

Most helpful customer reviews on Amazon.com

Amazon.com: 3.9 out of 5 stars 16 reviews
Thomas J Ballatore
5.0 out of 5 stars Everything I was hoping for!
26 May 2020 - Published on Amazon.com
Verified Purchase
Customer image
5.0 out of 5 stars Everything I was hoping for!
Reviewed in the United States on 26 May 2020
While I loved the 3rd edition of this book, I've been looking forward for years for this update to *the* leading AI textbook. I was giddy when unboxing this and so far it hasn't disappointed.

Clarifications. (1) It's actually a hardcover. The amazon description says "Paperback: 1136 pages" but, as expected, it's a well-bound hardcover. (2) Another reviewer noted that the print is very light. In my copy, the print is just fine but I did notice that the pages are quite thin. They seem sturdy but are relatively transparent...I assume this is a simple tradeoff—they want to pack the 1100+ pages into a reasonable size and weight. Overall, it feels great to hold and flip through.

Observations. (1) It's in color! I wasn't expecting that but it makes sense given the addition of many more images, esp. on computer vision. (2) I skipped straight to Chapter 21 on Deep Learning, authored by Ian Goodfellow. Overall, they must have a great editor because the tone and style match well the "Russell/Norvig style" you might be used to from previous editions. I assume the other guest-written chapters are the same. (3) It's not cheap but I'd expect it to hold value for many years as it's unlikely to be updated for ~10 years and there will be significant demand for used copies if you decided to resell. (4) Minor point but I like the smell—it's definitely a real book!

Overall, if you are interested in AI and want the most comprehensive overview, buy now!

P.S. Well done adding Ada Lovelace to the already though-provoking cover.
Images in this review
Customer image Customer image
Customer imageCustomer image
39 people found this helpful
calvinnme
4.0 out of 5 stars Don't you hate it when such an expensive book doesn't have a table of contents listed?
17 December 2020 - Published on Amazon.com
33 people found this helpful
ZZ
3.0 out of 5 stars Poor print quality
17 August 2020 - Published on Amazon.com
Verified Purchase
7 people found this helpful
Reader10928
4.0 out of 5 stars Great, but missing details that make it challenging for beginners
21 November 2020 - Published on Amazon.com
Verified Purchase
3 people found this helpful
Adam Zhang
3.0 out of 5 stars Bookbinding issue
2 November 2020 - Published on Amazon.com
Verified Purchase
Customer image
3.0 out of 5 stars Bookbinding issue
Reviewed in the United States on 2 November 2020
I know it's a fantastic book. I've read the previous version for school. I'm buying this one just because I want to collect it, and the very first page has a bookbinding issue. Requesting an exchange, hopeful that the new one won't be the same.
Images in this review
Customer image
Customer image
4 people found this helpful