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

4.3 out of 5 stars 20 customer reviews

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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 (20 customer reviews)
  • Amazon Bestsellers Rank: 67,883 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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.


Customer Reviews

4.3 out of 5 stars
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Top Customer Reviews

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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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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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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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
Whilst the book starts out positively enough (hence the 1 review star), it quickly degenerates into a rambling disorganised text that neither adequately covers collective intelligence, programming nor build smart web 2.0 applications.

Terms and assumptions are used without explanation, important issues are skimmed over lightening speed yet simple issues are repeated ad-nausem.

A better title might be "A light skim over Collective Intelligence for Python Programmers", but anything else is seriously overselling the confusing and frustratingly sparse content.
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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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Format: Paperback Verified Purchase
For AI idiots like myself this was a great and non condescending introduction.

Although Python based I found the algorithms clear enough to translate into Erlang without much issue and if you have any functional exposure this should not be difficult.

I'm math phobic but this book really generated my interest with its clarity and applicative nature to everyday problems.

I took this over the competing CI book as that was heavily Java oriented - why do some people mangle Java to any possible task?

The elegance of Python to AI problems really shone through here!

Great Book and not too long either - but certainly not short on knowledge!
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Was one of the first books I read related to Machine Learning - was a lucky guess - it has helped bring me up to speed and made the other books a lot easier to comprehend. Very practical and comprehensive, giving you (the reader) a good grounding in the subject (as a practitioner)
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