October 18, 2011
Thousands of regression-based models including some SEM and polynomial regressions, hundreds of classification (discriminant & neural nets) and clustering (traditional stats & SOMs) analyses, and about a dozen data mining projects. I've also done a little text mining.
SPSS, RapidMiner, Octave, Neuroshell...and I'm starting to learn R
Thoughts and ideas on tools, tips, and trends.
I've been a 'quant' in the local market research community since 1982. Besides traditional stats, I worked with data mining & neural nets in the 1990s. After a decade break, I've started working with data mining/machine learning algorithms again.