Review:Fast delivery. Product as described. Good reading for everyone interested in technology. It got me thinking a lot about our future as well as increasing my awareness of how big company collecting our data and their usage. Read more

Review:This book is fundamental for the ML enthusiasts conceptual bookshelf.

Some have complained about it's lack of technical detail; mind you, it's a conceptual book and should not be read for technical know-how but more for understanding the spirit of the machine learning researcher and what the big picture is all about. Read more

Review:Very interesting perspective and well written. I've read Kurzweil and was always a little concerned with his seemingly over optimistic perspective regarding AI. Barrat does a great job explaining the dangers of AI both technologically and philosophically. His narrative is also much easier to read than other books on the subject.
The only thing I would critique is that, while his views are rationally supported and thorough, I would have liked to have seen more specific ideas about what can be ... Read more

Review:"As the most important phenomenon in the universe, intelligence is capable of transcending natural limitations, and of transforming the world in its own image. In human hands, our intelligence has enabled us to overcome the restrictions of our biological heritage and to change ourselves in the process. We are the only species that does this."

Ray Kurzweil: How to Create a Mind; the Secret of Human Thought Revealed

Proposition: Anybody who reads, studies and reflects deeply on Ra... Read more

Review:Excellent book. Gives the foundation of ML very well. He even includes other books to read along with his. I would suggest reading this along with Sebastian rashkas book, a book on introduction to statistical learning. Read more

Review:Back in the '50s artificial intelligence researchers Newell, Shaw, and Simon created a program called the General Problem Solver which succeeded in finding solutions to some hard problems in mathematics, to include a completely original proof to a theorem from Principia Mathematica that had never previously been solved. This led Simon and Newell to predict that by 1985 that machines would be able to perform any task that humans can do.
Simon and Newell were brilliant thinkers, but also were g... Read more

Review:This book helped me understand everything from K-nearest neighbors to deep neural networks. Professor Yaser presents a clear and well-written book for students and anyone interested in machine learning. Additionally, he allows anyone with the book to access his online resources at no additional fee. I can't say enough good things about this book!! Read more

Review:Great (and a very timely & relevant) book on this exciting and cutting edge domain. A much needed reference material on Deep Learning, covering the foundations, as well as offering a glimpse into the further research areas. Read more

Review:It's hard to figure out who would actually benefit from this book - it amounts to seven hundred pages of equations interrupted by blocks of text that fail to provide any intuition whatever for the techniques they are describing, and the occasional graph which is remarkable in the universe of graphs as being scarcely more informative than the equations it is meant to illustrate.

Seriously, you have to wonder wtf Bishop thought he was doing here. As a catalog of equations for people who al... Read more

Review:I'll second what others have said - blame Amazon for Kindle typographical errors, not the Author.

Fantastic book, fantastic author. A must read for anyone who deals with computers on a professional level. This technology has far reaching ramifications.

This book should take you maybe a week or two to go through (depending on your familiarity with calculus and matrix operations). It breaks everything down into bite sized chunks so our poor wet ware can absorb it. Read more