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 data into formats for machine-learning models. Ea...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Libro |
| Lenguaje: | inglés |
| Publicado: |
New Delhi
Shroff Publishers & Distributors Pvt. Ltd.
2019
|
| Materias: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | "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 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." |
|---|---|
| Descripción Física: | xiii, 201 p. |
| ISBN: | 9789352137114 |