Feature Engineering For Machine Learning: Principles And Techniques For Data Scientists
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| Google books | books.google.com |
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| Originally published | June 2016 |
| Authors | Alice Zheng |
| Amanda Casari | |
| Date of Reg. | |
| Date of Upd. | |
| ID | 1732599 |
About Feature Engineering For Machine Learning: Principles And Techniques For Data Scientists
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. . . .