Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics) 1st Edition

4.3 out of 5 stars 39 ratings
ISBN-13: 978-0133892062
ISBN-10: 0133892069
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Editorial Reviews

About the Author

THOMAS W. MILLER is faculty director of the Predictive Analytics program at Northwestern University. He has designed courses for the program, including Marketing Analytics, Advanced Modeling Techniques, Data Visualization, Web and Network Data Science, and the capstone course. He has taught extensively in the program and works with more than forty other faculty members in delivering training in predictive analytics and data science.

 

Miller is co-founder and director of product development at ToutBay, a publisher and distributor of data science applications. He has consulted widely in the areas of retail site selection, product positioning, segmentation, and pricing in competitive markets, and has worked with predictive models for over 30 years. Miller’s books include Data and Text Mining: A Business Applications Approach, Research and Information Services: An Integrated Approach for Business, and a book about predictive modeling in sports, Without a Tout: How to Pick a Winning Team.

 

Before entering academia, Miller spent nearly 15 years in business IT in the computer and transportation industries. He also directed the A. C. Nielsen Center for Marketing Research and taught market research and business strategy at the University of Wisconsin–Madison.

 

He holds a Ph.D. in psychology (psychometrics) and a master’s degree in statistics from the University of Minnesota, and an MBA and master’s degree in economics from the University of Oregon.

 

 


Product details

  • Publisher ‏ : ‎ Pearson FT Press; 1st edition (October 1, 2014)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 448 pages
  • ISBN-10 ‏ : ‎ 0133892069
  • ISBN-13 ‏ : ‎ 978-0133892062
  • Item Weight ‏ : ‎ 1.99 pounds
  • Dimensions ‏ : ‎ 7.4 x 1.35 x 9.55 inches
  • Customer Reviews:
    4.3 out of 5 stars 39 ratings

Customer reviews

4.3 out of 5 stars
4.3 out of 5
39 global ratings

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Top reviews from other countries

Ezekiel Emoma
1.0 out of 5 stars Payment without product
Reviewed in the United Kingdom on December 5, 2021
Satish
3.0 out of 5 stars Page quality bad
Reviewed in India on December 29, 2021
Michael
4.0 out of 5 stars Great book. The code snippets in Python and R ...
Reviewed in the United Kingdom on August 8, 2015
WLADYSLAW WIETRZYK
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on January 4, 2016
T C GURNER
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on April 10, 2015