Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists - Alice Zheng
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Saadetis 31-37 tööpäeva jooksul
30-päevane tagastamisõigus
"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 ... Täielik kirjeldus
Kirjeldus
"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.
Lisateave
| Autor | Alice Zheng |
|---|---|
| Kirjastaja | O'Reilly Media |
| Väljalaskeaasta | 2018 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9781491953242 |