April 2017
Beginner to intermediate
420 pages
9h 58m
English
book
Mastering Machine Learning with R - Second Edition
by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
Content preview from Mastering Machine Learning with R - Second Edition
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Sources
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Hechenbichler, K., Schliep, K.P., (2004), Weighted k-Nearest-Neighbors and Ordinal Classification, Institute for Statistics, Sonderforschungsbereich 386, Paper 399. http://epub.ub.uni-muenchen.de/
Hinton, G.E., Salakhutdinov, R.R., (2006), Reducing the Dimensionality of Data with Neural Networks, Science, August 2006, 313(5786):504-7
James, G., Witten, D., Hastie, T., Tisbshirani, R. (2013), An Introduction to Statistical Learning, 1st ed. New York: Springer
Kodra, E., (2011), Exploring Granger Causality Between Global Average Observed Time Series of Carbon Dioxide and Temperature, Theoretical and Applied Climatology ...
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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.