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I don't know why authors of AI and Machiner Learning books can not write their books explaining concepts in the most effective and efficient way, without using all the very... Read morePublished on February 7, 2013 by Rafael Carvajal Díaz
Very good reference book on main trends in artificial intelligence. It's a bit outdated but all the basis are here with very clear explanations and implementation examples in... Read morePublished on December 16, 2011 by Gaël Waiche
The book explains well the theory behind many AI techniques, but you only reaches the pseudocode, so people that are new to programming must resort to Google to get some better... Read morePublished on October 22, 2010 by Daniel Mosquera
The book gives a good introduction to the field and tries to explain the underlying problems and challenges and their possible solutions. Read morePublished on December 4, 2002
I am a Computer Science major at UGA and I can honestly say that this book is the absolute worst of any that I have ever read. Read morePublished on September 17, 2002
This book is useful as an introductory textbook. After reading this book, I produced an game playing system with randomized behavior that was able to beat very good (but not... Read morePublished on July 1, 2002
...I can only relate my experience from using this as a textbook for an introductory AI class with assigned topics. Read morePublished on April 7, 2002 by Hilbert
Here is a fine primer for one of the most promising subdivisions of computer science. In it you will find all the conceptual foundations for the field, including most of what has... Read morePublished on February 13, 2002 by Yu-Jin Chia
Not being an expert in this field, what I liked about this book was the wide range of topics it covered, sketching a history of the central ideas in each. Read morePublished on September 20, 2001 by Amazon Customer