E-Book, Englisch, 296 Seiten
Capellman Hands-On Machine Learning with ML.NET
1. Auflage 2020
ISBN: 978-1-78980-429-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
E-Book, Englisch, 296 Seiten
ISBN: 978-1-78980-429-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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Table of Contents - Getting started with Machine Learning and ML.NET
- Setting up the ML.NET environment
- Regression Model
- Classification Model
- Clustering Model
- Anomaly Detection Model
- Matrix Factorization Model
- Using ML.NET with.NET Core and Forecasting
- Using ML.NET with ASP.NET
- Using ML.NET with UWP
- Training and Building Production Models
- Using Tensorflow with ML.NET
- Using ONNX with ML.NET