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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Alice Zheng
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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Alice Zheng
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.
200 pages
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 10. april 2018 |
| ISBN13 | 9781491953242 |
| Utgivere | O'Reilly Media |
| Antall sider | 630 |
| Mål | 178 × 232 × 12 mm · 404 g |
| Språk | Engelsk |
Se alt med Alice Zheng ( f.eks. Pocketbok )