Outstanding item.

Just as advertised.

Very clearly written with all arguments straightforwardly expressed. I found it most helpful to cover in detail what we mean by intelligence/thought/capability before diving into the mechanics. Also the authors are honest about what is not known, including why certain methods work better than others.

- I liked the structure of the book in terms of content and printing format.

- I did not like the binding; although it is hardcover (which I prefer over paperback), it is glued like a paperback, and I am concerned the pages may start coming apart.

- I would have liked some examples within the text, as well as exercises (along with solutions in a separate instructor's manual).

George Polya, the mathematician, once wrote: "If you can't solve a problem, then there is an easier problem you can solve. Find it". This book helps you find the easier problem. This is the greatest complement I could give to any technical book.

Has everything a beginner needs to know and master AI. Also easy to read and understand. Finally the author has created a website for this book where implementation of real life AI problems are written in java, python and various other languages.

I like that this book covers a lot of ground and provides super useful information and algorithms. Super great book.

I don't like that some parts in the algorithm pseudo code aren't thoroughly explained with examples of usage. Also, the formulae notation for the i'th and j'th iteration characters aren't properly explained or consistent across formulae, making it more difficult for beginners. I think the formulae notations could be more consistent and thoroughly explained.

This book is definitely an improvement on last version which was already amazing. Very recommended

Education,excelent book !

Some figures are missing, and mathematical expressions are messed up.

Meine Tochter studiert artifical intelligence online an der IUBH. sie ist von dem Buch begeistert. Es ist sehr unformativ und für ihr Studium sehr hilfreich.

Sie kann es sehr empfehlen,

Este libro ha sufrido varias reediciones, pero la edición 2020 es simplemente soberbia, es un tratado completo de todas las áreas de la Inteligencia Artificial, completamente actualizada.

Los capítulos de Machine Learning y Deep Learning han sido actualizados de forma que incluyen los últimos avances, y al verificar los autores de cada capítulo se observa que los principales investigadores de cada área han colaborado.

Es un libro de texto que da para varias asignaturas trimestrales, y como consulta tiene un valor incalculable.

Lo recomiendo a todo estudiante avanzado de informática o matemáticas que quiera entrar en el mundo fascinante de la IA.

Ojo. Es un libro de texto, pesa un par de kilos (revisa las medidas porque es un libro grande)

For anyone who has studied the previous version(s) of this book, you'll know just how detailed and incredibly comprehensive this is. It is generally agreed to be the most credible and thorough book within the field of AI, by virtue of the backgrounds of the primary authors, along with its vast size of 1100+ pages. Even at this vast length, the information distilled into each of the sections is dense and very valuable, and I cant really highlight any chapters that are particularly redundant. You can also gain an incredible amount of knowledge from each of the sections of the book, even without a full understanding of the concepts the first time round (or reading many of the earlier chapters). For this reason it is widely used as a primary reference throughout academic courses in AI.

Where this book really shines is its heavy focus on foundational AI principles and topics that are concrete and timeless (as timeless as concepts can be in such a fast-moving field!). The modernised field of AI is heavily dominated by machine learning, but this represents only a subset of the field, with a vast expanse of other important subfields. This book branches across into all of these other areas (along with strong coverage of machine learning too), and if studied, will provide you with a very strong and grounded foundation in AI.

It should be highlighted that the book is challenging, and is far from a simple read. It is very good as a reference book, and for dipping into and out of as required - it's unlikely you'll manage to commit to reading the book from start to finish. This is not due to fault of the authors, who do a fantastic job of using engaging and easily-read writing styles, but is simply by virtue of the complicated and vast topics that the book is based on.

In terms of the 4th Edition itself, I would fully recommend this updated version over any of the previous versions. There is a significant amount of new material and improvements compared to the 3rd edition, which helps capture the major developments throughout the past ten years. There are now extensive chapters on Deep learning, probabilistic programming, multi-agent architectures, natural language processing, computer vision and robotics. Furthermore, the book now has a much better glossary with huge range of topics to quickly find, which was definitely a downside of prior editions.

In terms of the physical book itself, I have no major issues with the 4th Edition and can summarise as follows:

- It is huge (1100+ pages).

- It is expensive, but nevertheless a very good investment. It is unlikely another edition of this book will be released for a long time (last version was published in 2010), and so this will stand the test of time for now.

- High quality hardback, with good binding (contrary to other reviews I have read).

- The pages are thin, but nevertheless high quality, with great use of colour on all pages, illustrations and diagrams.

- The book shipped from the US to the UK for delivery, and despite this still arrived pristine without any damage at all. I ordered through Amazon with Book Depository, who packaged it very carefully in a decent sized box with bubble wrap. I know some other sellers might not be so diligent, which isn't worth taking the chance with such an expensive book.

Overall, I thoroughly recommend. An essential book for the collection of any AI researchers, students, data scientists or AI practitioners.

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