Marketing Data Science: Modeling techniques in predictive analytics with R and python (Record no. 2451)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01999nam a22002057a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200219160654.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200117b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-93-530-6574-4 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 7084 |
| Bill Date | 13/01/2020 |
| Purchase Year | 2019-20 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.800285 |
| Item number | MIL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Miller, Thomas W. |
| 245 ## - TITLE STATEMENT | |
| Title | Marketing Data Science: Modeling techniques in predictive analytics with R and python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Noida |
| Name of publisher, distributor, etc. | Pearson India Education Services Pvt. Ltd. |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 458 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | <br/>Table of Content<br/><br/> "Preface <br/> Figures <br/> Tables <br/> Exhibits <br/> 1 Understanding Markets <br/> 2 Predicting Consumer Choice <br/> 3 Targeting Current Customers <br/> 4 Finding New Customers <br/> 5 Retaining Customers <br/> 6 Positioning Products <br/> 7 Developing New Products <br/> 8 Promoting Products <br/> 9 Recommending Products <br/> 10 Assessing Brands and Prices <br/> 11 Utilizing Social Networks <br/> 12 Watching Competitors <br/> 13 Predicting Sales <br/> 14 Redefining Marketing Research <br/> A Data Science Methods <br/> B Marketing Data Sources <br/> C Case Studies <br/> D Code and Utilities <br/> Bibliography <br/> Index <br/> <br/><br/>Salient Features<br/><br/>The fully-integrated, expert, hands-on guide to predictive analytics and data science for marketing<br/><br/>Fully integrates everything you need to know to address real marketing challenges - including all relevant web analytics, network science, information technology, and programming techniques<br/> Covers analytics for segmentation, targeting, positioning, pricing, product development, site selection, recommender systems, forecasting, retention, lifetime value analysis, and much more<br/> Includes multiple examples demonstrated with Python and R<br/> By Thomas W. Miller, leader of Northwestern's pioneering predictive analytics program, and author of Modeling Techniques in Predictive Analytics" |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | General Stacks | 01/17/2020 | 619.00 | 658.800285 MIL | 018005 | 02/12/2020 | 619.00 | 01/17/2020 | Books |