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Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition
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Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

by Dursun Delen
December 2020
Beginner to intermediate
448 pages
11h 21m
English
Pearson FT Press
Content preview from Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Credits

Table 4.5: Delen, D., D. Cogdell, & N. Kasap, “A Comparative Analysis of Data Mining Methods in Predicting NCAA Bowl Outcomes,” International Journal of Forecasting, 28 (2012): 543–552.

Table 4.6: Delen, D., D. Cogdell, & N. Kasap, “A Comparative Analysis of Data Mining Methods in Predicting NCAA Bowl Outcomes,” International Journal of Forecasting, 28 (2012): 543–552.

Figure 7.6: © 2020 Microsoft

Figure 8.2: Watson, H. (2012). “The Requirements for Being an Analytics-Based Organization,” Business Intelligence Journal, 17(2): 42–44

Figure 9.17: Screenshot of two examples of using the Google Lens, © 2020 Google LLC

Figure 9.22: Courtesy of Microsoft Corporation

Figure A.1: Screenshot of KNIME Analytics Platform © 2020 - KNIME AG

Figure ...

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Publisher Resources

ISBN: 9780135946527