Programming Collective Intelligence: Building Smart Web 2.0 Applications

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See Larger Image	Programming Collective Intelligence: Building Smart Web 2.0 Applications by: Toby Segaran List Price: $39.99 Amazon.com's Price: $26.39 You Save: $13.60 (34%) Prices subject to change. Used Price: $13.92 Third Party New Price: $18.64 Availability: Usually ships in 24 hours
Binding: Paperback Dewey Decimal Number: 006.76 EAN: 9780596529321 Edition: 1 ISBN: 0596529325 Label: O'Reilly Media Manufacturer: O'Reilly Media Number Of Items: 1 Number Of Pages: 368 Publication Date: August 16, 2007 Publisher: O'Reilly Media Studio: O'Reilly Media Features: ISBN13: 9780596529321 Condition: New Notes: BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed Related Items: Algorithms of the Intelligent Web Programming the Semantic Web Collective Intelligence in Action Hadoop: The Definitive Guide Beautiful Data: The Stories Behind Elegant Data Solutions see more
Customer Reviews
Average Rating: Rating: - Excellent Resource, Clear and Concise Excellent resource for beginners and experts alike. I was impressed with the organization and the concise explanations that nonetheless explained what you need to know to understand the methods in practical statistical programming being used today. The fact that all examples are given in working code ensures that everything you need to start programming your own applications is provided for you. The only minor fault in my mind is that it could have been easier to explain some of the hairier concepts with mathematical formulas (which the author avoids, for legitimate reason) in an appendix. An appendix is provided with seemingly similar purpose, but is underdeveloped. This is a minor issue, as all concepts can be supplemented with a simple web search. Rating: - Great sample code in Python A fun, fast read. Good depth, but still concise. The code is well written, broadly applicable, and easy to modify. This book is the opposite of A New Kind of Science. Rating: - Bold New Writing plus best O'reilly book ever This book is spectacular, I love the way that the Author approaches a "new middle" ground of writing books. That is a book that is somewhere in between pure theory, and pure practice. That observation and follow through is simply genius. Python is an excellent choice for this as it can be easy to read. I had to study Python a little before I could totally digest the code. The book is around 300 pages but it is very dense, if someone else wrote it, it would be 600 pages. Most O'reilly books are boring, useless documentation that you could find on the internet. This book is full of useful examples, showing you how to use "real" data, even how to get the "real" data. For that reason if you are not fond of O'reilly books, don't worry this one is different. The downside: this book has over 1000 proposed errors and not 1 accepted errors on the O'reilly web site. Some of the code simply does not work as it's written in the book. You can download the code examples but even those do not work 100%. Check the O'reilly site to get the latest code updates. Also the book was published in 2007 and the internet has changed since then so the API's are a little out of date. By not updating this book they are doing the community and they author a huge disservice. Rating: - Intuitive and motivating book I am not completely finished reading it but I already think it's a great introductory book which is strongly committed with transmitting intuition and comprehension of its material (machine learning) usually hard for regular people. It focuses mainly on implementation and application but some general coverage of the underlying theory is done to motivate inexpert readers. Examples are taken from the Web domain so this text can be very useful for people interested in combining BI and AI, among others. Personally, I approve using Python, which is not (yet) my favorite language, I consider it actually as a plus because it complements very well author's intention of simplicity which is all over behind the book design. This book seems to me like an excellent old school teacher among those ones who really take the right timing and words for carefully explaining you something probably difficult in an easy way so that you really will want to learn more about it. Rating: - Collective Intelligence, Smart Stuff This book provides good coverage of areas essential to modern web sites. Some complex topics are covered in a manner that anyone can understand. I used this book to suppliment my college material and it helped me understand Gentic Algorithms, Path Finding and other algorithms by giving practicle examples of their use. A must have for any software professional.