May 2015
Beginner to intermediate
225 pages
13h 46m
English
book
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
by Thomas W. Miller
Content preview from Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
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Index
A
accuracy, see classification, predictive accuracy
advertising research, 289, 369
ARIMA model, see time series analysis
arules, see R package, arules
arulesViz, see R package, arulesViz
association rule, 144–145, 153
B
bar chart, see data visualization, bar chart
base rate, see classification, predictive accuracy
Bayes’ theorem, see Bayesian statistics, Bayes’ theorem
Bayesian statistics, 161, 174, 258, 259, 263, 264
Bayes’ theorem, 263
benchmark study, see simulation
best-worst scaling, 331
betweenness centrality, 199
biclustering, 153
big data, 260
biologically-inspired methods, 275
biplot, see data visualization, biplot
black box model, 274
block clustering, see biclustering
bot, see crawler (web crawler)
box plot, ...
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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.