Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists - Alice Zheng
-40% ar kodu BOOKS
Piegāde 31-37 darba dienu laikā
30 dienu atgriešanas politika
"Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these exa ... Pilns apraksts
Aprašymas
"Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering."--Page 4 of cover.
Vairāk informācijas
| Autors | Alice Zheng |
|---|---|
| Izdevējs | O'Reilly Media |
| Izlaides gads | 2018 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781491953242 |