ML.NET revealed simple tools for applying machine learning to your applications
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible. Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Apress
[2021]
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| Edición: | 1st ed. 2021. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631319706719 |
Tabla de Contenidos:
- Chapter 1: Meet ML.NET
- Chapter 2: The Pipeline
- Chapter 3: Handling Data
- Chapter 4: Regressions
- Chapter 5: Classifications
- Chapter 6: Clustering
- Chapter 7: Sentiment Analysis
- Chapter 8: Product Recommendation
- Chapter 9: Anomaly Detection
- Chapter 10: Object Detection.
