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Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
book

Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

by Thomas W. Miller
May 2015
Beginner to intermediate
225 pages
13h 46m
English
Pearson
Content preview from Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

Bibliography

Aaker, D. A. (ed.) 1971. Multivariate Analysis in Marketing. Belmont, Calif.: Wadsworth.

Aaker, D. A. 2001. Strategic Marketing Management (sixth ed.). New York: Wiley.

Aarseth, E. J. 1997. Cybertext: Perspectives on Ergodic Literature. Baltimore: Johns Hopkins University Press. 349

Ackland, R. 2013. Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age. Los Angeles: Sage.

Agar, M. H. 1996. The Professional Stranger: An Informal Introduction to Ethnography (second ed.). New York: Academic Press.

Agrawal, R., H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo 1996. Fast discovery of association rules. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Handbook of Data Mining ...

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Publisher Resources

ISBN: 9780133887662Purchase book