October 2014
Beginner to intermediate
448 pages
14h 16m
English
book
Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science
by Thomas W. Miller
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Index
A
accuracy, see classification, predictive accuracy
Akaike information criterion (AIC), 5
ARIMA model, see time series analysis
arulesViz, see R package, arulesViz
B
bag-of-words approach, see text analytics
bar chart, see data visualization
base rate, see classification, predictive accuracy
Bayes information criterion (BIC), 5
Bayes’ theorem, see Bayesian statistics, Bayes’ theorem
Bayesian statistics, 5, 221, 241, 254, 275, 282, 283, 298
Bayes’ theorem, 283
benchmark study, see simulation
best-worst scaling, 308
biclustering, 294
biologically-inspired methods, 290
biplot, see data visualization
black box model, 289
block ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.