Information-Driven Machine Learning Data Science as an Engineering Discipline /
This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the 'black box...
Guardado en:
| Autor principal: | Friedland, Gerald (Autor) |
|---|---|
| Autor Corporativo: | SpringerLink (Online service) |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| Edición: | 1st ed. 2024. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-031-39477-5 |
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