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Feature engineering bookcamp /
Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book’s practical case studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results. Feature Engineering Bookcamp guides you thr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications Co.,
[2022]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Ozdemir, Sinan, |e author. | |
| 245 | 1 | 0 | |a Feature engineering bookcamp / |c Sinan Ozdemir. |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a Shelter Island, NY : |b Manning Publications Co., |c [2022] | |
| 300 | |a 1 online resource (272 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 520 | |a Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book’s practical case studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results. Feature Engineering Bookcamp guides you through a collection of projects that give you hands-on practice with core feature engineering techniques. You’ll work with feature engineering practices that speed up the time it takes to process data and deliver real improvements in your model’s performance. This instantly-useful book skips the abstract mathematical theory and minutely-detailed formulas; instead you’ll learn through interesting code-driven case studies, including tweet classification, COVID detection, recidivism prediction, stock price movement detection, and more. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning |x Technique. | |
| 650 | 6 | |a Apprentissage automatique |x Technique. | |
| 650 | 7 | |a Machine learning |x Technique |2 fast | |
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| 994 | |a 92 |b IZTAP | ||