Wednesday, August 29, 2007
Good book: "Programming Collective Intelligence"
This book
is a great introduction to the techniques that I use almost daily in my own personal research and work for customers, and I can recommend it without reservation. The choice of Python for the examples is not optimum for me, but OK, especially because the techniques in the book for machine learning, categorization, clustering, filtering, optimization, support vector machines, etc. are mostly short and can be used as is or converted to whatever programming language that you need to use. The data used to present the book material is mostly from collaborative web sites. The book relies heavily on existing Python libraries and I like this approach since it mirrors rational software development practice: build custom code on top of existing libraries and software tools. Good book!
is a great introduction to the techniques that I use almost daily in my own personal research and work for customers, and I can recommend it without reservation. The choice of Python for the examples is not optimum for me, but OK, especially because the techniques in the book for machine learning, categorization, clustering, filtering, optimization, support vector machines, etc. are mostly short and can be used as is or converted to whatever programming language that you need to use. The data used to present the book material is mostly from collaborative web sites. The book relies heavily on existing Python libraries and I like this approach since it mirrors rational software development practice: build custom code on top of existing libraries and software tools. Good book!Labels: AI, clustering, machine learning, Python, support vector machines
Friday, March 16, 2007
metaweb.com and freebase.com
I am always on the lookout for freely available sources of data in useful formats. Metaweb was founded by Danny Hillis and their first public system is at www.freebase.com.
"Freebase is a vast, free, open online database of structured knowledge" - from their web site.
One interesting thing, besides the interesting technology for storing and querying structured data where both the user can define her own categories and use system wide categories, is that the content that hosted is freely licensed under Creative Commons, GNU documentation license, or in the public domain.
You need to request an invitation, and then the documentation provides information on accessing Freebase. I experimented during lunch time with their Python client APIs - cool stuff.
"Freebase is a vast, free, open online database of structured knowledge" - from their web site.
One interesting thing, besides the interesting technology for storing and querying structured data where both the user can define her own categories and use system wide categories, is that the content that hosted is freely licensed under Creative Commons, GNU documentation license, or in the public domain.
You need to request an invitation, and then the documentation provides information on accessing Freebase. I experimented during lunch time with their Python client APIs - cool stuff.
Labels: AI, data mining, Python
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