Artificial Intelligence: A Modern Approach (Prentice Hall Series in Artificial Intelligence) Hardcover – 23 Feb. 2010

Everything is fine

Excellent service - best available price - arrived 2 days early - perfect condition. obviously cant give review of actual book quickly as it's over 1000 pages long - very detailed but I can see that it meets my requirements.

This is a really good textbook, but the index is pretty much useless - I don't know how it was generated but it leaves out lots of key topics. This, along with a sparse table of contents and vague chapter headings, means that the book is difficult to use as a reference work. I have the Indian edition, and I'm not sure if this also applies to others.

Very good introductory material to AI. Clear, explanations, psuedo code and maths.Found the intro a bit long winded but not enough to dampen my enthusiasm for the subject or the book. Would have brought this years ago if I'd known.

The book arrived well ahead of scheduled delivery.

Do you wish to become a Data Scientist, do you want to understand facts from choatic data... Yes this book is for you. Who else can explain better than Russel & Peter Norvig

Great book about Artificial Inteligence.Algorithms are very easy and naturally.Some examples are not so easy, but this book is very useful for students (or non-students), who knows what it is neurons and some basic parts of Artificial Inteligence.

The content of this book is outstanding, considered by many to be the bible of AI textbooks. Incredible clarity and easy to read. Both Peter Norvig and Stuart Russell are icons of this field. Anything else I could add in this respect has already been said in countless other positive reviews.On content alone, I would easily give the book 5 stars. However, I have three criticisms regarding issues which markedly affect the "usability" of the book and hence reduce the rating:1) The "Contents" listing of this book is simply a list of chapter headings - each typically 2 words. In this latest edition (unlike previous ones), there is no longer a breakdown of what's in each chapter, which would help you at a glance see which chapter you need to look at for certain key topics. This is disappointing and pretty unhelpful in a text of over 1000 pages.2) The above problem is compounded by an appallingly poor index section. Try looking up "Neural Networks", "Hidden Markov Model", "Minimax", "Expectation", "Back propagation", "Utility", etc, etc. Whilst the content of this book makes it an outstanding text to work from, its value as a reference is massively reduced given that there is no reliable way of being able to find things in it.... or in the case of a new reader ...just knowing if certain topics/items are even covered in the book. For example, given that there is no mention of "Support Vector Machines", "Boosting", or even "Bayes" (!) in the index (or the contents), how would an unfamiliar reader know if these were even covered by the book, let alone find them again at a later date.3) The physical quality of this book is dismal. The cover is thin/flimsy. The pages are incredibly thin. This is not just an aesthetic issue. Lots of people who really use a text book, go back to it for many years, use post-its, write notes in it, use highlighters etc. The quality of the paper in the book affects your ability to do this. When I first received it, I thought I had been sent an Indian reprint (I checked: it's a legitimate UK copy). In fact the quality of the Pearson edition is far worse than some of the Indian reprints of other texts I've ended up with. I know there's a balance here, of not pushing the price up, and not making a long book too heavy or too thick, but this is by far the poorest quality text book on my shelves, which at the price is rather galling.Come on Pearson, this is a popular, big-seller textbook, famous in its field. At the price you are charging for it, the quality should be better than this. At the very least, you could tackle the relatively trivial task of sorting out a half decent Table of Contents & providing a reliable index.Note: My comments refer to Pearson New International Edition - 3rd edition ISBN-10: 1292024208, ISBN-13: 978-1292024202.