Modeling Techniques in Predictive Analytics with R and Python
De som köpt den här boken har ofta också köpt Slow Productivity av Cal Newport (häftad).
Köp båda 2 för 970 krTHOMAS W. MILLER(Evanston, IL), faculty director of Northwestern University's Predictive Analytics program, has designed and taught courses in predictive analytics, predictive modeling, marketing analytics, and advanced modeling. Also owner of Research Publishers LLC, he has worked with predictive models for 30+ years, and consults on retail site selection, product positioning, segmentation, and pricing. He holds a Ph.D. in psychology (psychometrics); and M.S. degrees in statistics, business, and economics. His books includeData and Text Mining: A Business Applications Approach; Research andInformation Services: An Integrated Approach for Business, andWithout a Tout: How to Pick a Winning Team. He previously directed the A.C. Nielsen Center for Marketing Research in the School of Business, U. of Wisconsin-Madison.
Preface vii
Figures xi
Tables xv
Exhibits xvii
1 Understanding Markets 1
2 Predicting Consumer Choice 13
3 Targeting Current Customers 27
4 Finding New Customers 49
5 Retaining Customers 65
6 Positioning Products 87
7 Developing New Products 111
8 Promoting Products 121
9 Recommending Products 139
10 Assessing Brands and Prices 159
11 Utilizing Social Networks 193
12 Watching Competitors 221
13 Predicting Sales 235
14 Redefining Marketing Research 247
A Data Science Methods 257
B Marketing Data Sources 291
C Case Studies 353
D Code and Utilities 397
Bibliography 415
Index 453