July 2009
Beginner to intermediate
396 pages
14h 45m
English
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Acknowledgments
Several data repositories on the web were helpful, either because of the data sets available there or merely as a source of inspiration. Among the most helpful were
- The data set collection and the Data and Story Library (DASL) at StatLib (http://lib.stat.cmu.edu)
- The UCI Machine Learning Repository at UC Irvine (http://www.ics.uci.edu/~mlearn/MLRepository.html)
- R. J. Hyndman’s Time Series Data Library (http://www-personal.buseco.monash.edu.au/~hyndman/TSDL)
- The Exploring Data site at Central Queensland University (http://exploringdata.cqu.edu.au)
Wherever specific data sets have been used, detailed attribution is given in the text.
Two resources I relied on more than on any other: the excellent collection of the University ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.