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Feature engineering for machine learning : principles and techniques for data scientists /
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
2018.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- The machine learning pipeline
- Fancy tricks with simple numbers
- Text data : flattening, filtering, and chunking
- The effects of feature scaling : from bag-of-words to Tf-Idf
- Categorical variables : counting eggs in the age of robotic chickens
- Dimensionality reduction : squashing the data pancake with PCA
- Nonlinear featurization via K-means model stacking
- Automating the featurizer : image feature extraction and deep learning
- Back to the feature : building an academic paper recommender
- Linear modeling and linear algebra basics.