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Programming Collective Intelligence: Building Smart Web 2.0 Applications Paperback – 26 Aug 2007


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Product details

  • Paperback: 362 pages
  • Publisher: O'Reilly Media; 1 edition (26 Aug 2007)
  • Language: English
  • ISBN-10: 0596529325
  • ISBN-13: 978-0596529321
  • Product Dimensions: 17.8 x 2.3 x 23.3 cm
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Bestsellers Rank: 119,042 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

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Product Description

Review

..you should buy this book.... It's well written manual that'll handily expand your repetoire.
-- London Perl M(ou)ngers, london.pm.org, December 2007

About the Author

Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.


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Customer Reviews

4.2 out of 5 stars
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Most Helpful Customer Reviews

32 of 33 people found the following review helpful By B. OSullivan on 4 Dec 2007
Format: Paperback
This is excellent - forget the marketing rubbish about making better web 2.0 apps: It is all about machine learning - the science of how Amazon and others can make recommendations based on the ordering patterns of others.

The difference between it and other texts on this machine learning, is how accessible it is, and how apt the data sets it chooses are. Machine learning is an active area of research, and I was surprised that this book even covers kernel methods.

It generates a real appetite to learn more about the theory of machine learning: Which you will need, as most machine learning text books are mathematically tough going and dry.

I only wish I could skip the day job for a week and study this book from cover to cover.
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4 of 4 people found the following review helpful By M. Murdoch on 22 Oct 2008
Format: Paperback
I was a beginner in both python and general programming when I got this book together with a book on how to use Python in general.

I actually found this book more useful than the general Python book as the use of examples is a much better way of learning (in my opinion). The examples introduced get more and more complex through the book which then forces you to learn about those programs in order to understand what they've done.

The fact that it exposes you to live web based data from the beginning is very useful indeed. My only wish would be that the formatting would be a bit clear. Python seems to thrive on using indentation rather than brackets and it can be difficult to see exactly which level of indentation is being used.

You need a ruler to use it!
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22 of 25 people found the following review helpful By sprocketonline on 29 Mar 2008
Format: Paperback
This book is definitely worth having on your bookshelf. It breaks down one of the most complex and demanding subjects into delightful, succinct and digestible pieces.

Having dredged my way through similar books in the past, I wasn't expecting too much, but Programming Collective Intelligence is remarkable. I found this book gripping; completing each example was very rewarding, and has now got me hooked on learning more.

I ended up working my way through the entire book, and really feel that it was time well spent. I now feel that I actually understand the concepts and algorithms surrounding machine learning/AI/data mining, and as a bonus have become familiar with a huge number of web 2.0 APIs.

The source code is almost impeccable. Most programming books falter on sloppy and/or incomplete code, but Programming Collective Intelligence is well explained and has the complete Python code written in the book, as well as being available for download. I was able to do every example without any major problems, despite having never used the Python language before.

Well written & diagrammed, with good examples and wonderful explanations: this a fantastic book, and to be highly recommended.
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3 of 3 people found the following review helpful By R. Whitehead on 13 Mar 2011
Format: Paperback Verified Purchase
This book covers algorithms that elsewhere are treated as artificial intelligence, but here are dealt with very rapidly and in a programmer's mindset. It's great to see ideas that have been considered "academic", such as neural networks, treated as no more frightening than other algorithms such as sorting. The description of how to use live web site APIs is also a great feature of this book.
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1 of 1 people found the following review helpful By Peter Martin Hartwig on 11 Sep 2008
Format: Paperback
This book really does an awesome job at guiding you through the process of using collective intelligence in your own applications. For me, a bit more explanation on the math would be nice, but if i just pay attention it still seems to stick, so it's not crucial.
just, well, get it! it's good

Pete
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4 of 5 people found the following review helpful By J.H. on 11 May 2009
Format: Paperback Verified Purchase
This book is essentially a brief introduction to the topic of machine learning from a practical and non-mathematical perspective using code examples written in Python.

The intended audience for this book are developers with no background in machine learning but wanting to use machine learning techniques in their projects. Newcomers to the topic of machine learning may find the book useful but those with a background in maths or machine learning will likely find the book to have a somewhat limited appeal.
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Format: Paperback
perfect and exactly what I wanted. My interests are with AI and wireless networks and algorithms and software languages. This is exampled in python but covers much more ground. It discuss how companies were able to use algorithms such as google and Microsoft to target personal and useful subject matter and increase their income. It explains how the users on world wide network leave cobwebs everywhere they go which are picked up by these ghost like applications they have created.
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Format: Paperback
This is an excellent book that I keep coming back to again and again. It explains a variety of complex machine learning algorithms with easy to follow, clear, concise code. The only bad word I've heard about this book is that occasionally it would be useful to see the algorithms as equations as well as code, I didn't find that a problem at all though.
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