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- The Dispossessed (141)
- an Ambiguous Utopia
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- Das Go-Spiel. Eine Einfuehrung in das asiatische Brettspiel (1)
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By Joerg Digulla, Alfred Ebert, Andreas Fecke, … -
Finished on Jul 18, 2008 




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- Lessons in the Fundamentals of Go (19)
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By Toshiro Kageyama -
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- Die geheimnisvolle Flamme der Koenigin Loana. Illustrierter Roman (7)
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By Umberto Eco -
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- The R Book (12)
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By Michael J. Crawley -
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- The Definitive ANTLR Reference (14)
- Building Domain-Specific Languages
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By Terence Parr -
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- Programming Collective Intelligence (104)
- Building Smart Web 2.0 Applications
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By Toby Segaran -
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- The C Programming Language (403)
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By Dennis M. Ritchie, Brian W. Kernighan -
Unfinished since 2005 




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- Beautiful Code (111)
- Leading Programmers Explain How They Think
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By Greg Wilson, Andy Oram -
Unfinished since Jul 24, 2007 




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2 people find this helpful 



Beautiful -
- "All author royalties will be donated to Amnesty International.". Cool.
- first chapter: Brian Kernighan (THE Brian Kernighan, from K&R, ISBN:978-0131103627) shows a simple implementation of a regular expression syntax. Very interesting piece of C.
- chapter by Yukihiro Matsumoto (Matz ... (
continue ) -
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Jul 25, 2007 |
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Pyrami-
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- Pyramiden (6)
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By Terry Pratchett -
Finished on Jul 21, 2007 




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Pyrami-
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- Rot ist mein Name. 2 CDs
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- Rot ist mein Name. 2 CDs (15)
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By Sylvester Groth, Christian Berkel, Peter Rothin, … -
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Schnee-
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By Jens Wawrczeck, Orhan Pamuk, Wolfgang Rüter, … -
Finished on Jul 15, 2007 




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- Data Mining (37)
- Practical Machine Learning Tools and Techniques
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By Eibe Frank, I. H. Witten -
Started on Jul 10, 2007 




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- Writing GNU Emacs Extensions (10)
- Editor Customizations and Creations with Lisp (O'Reilly Nutshell)
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By Bob Glickstein -
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- Homo Faber. 7 CDs. (154)
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By Felix von Manteuffel, Max Frisch, Uwe Kossack, … -
Finished on Jul 6, 2007 




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Programming Collective Intelligence
1 person find this helpful
This is the book to start with machine learningMachine learning is a huge topic in computer science, and most of the standard work out there (like "Machine Learning" from Sam Mitchell, ISBN 0070428077 or "Data Mining. Practical Machine Learning Tools and Techniques" by Witten/Frank, ISBN: 978-0120884070) are hard to get into at first.
Thi ... (continue)
Machine learning is a huge topic in computer science, and most of the standard work out there (like "Machine Learning" from Sam Mitchell, ISBN 0070428077 or "Data Mining. Practical Machine Learning Tools and Techniques" by Witten/Frank, ISBN: 978-0120884070) are hard to get into at first.
This book makes a very good introduction into the topic. It is really just a an overview, but it is a good one. The Author uses python code and open web APIs to introduce the most important aspects in machine learning. I recommend to start here and then continue with the books from Witten/Frank and Sam Mitchell.
Some decent knowledge of programming is required to benefit from this book.