Capellman Hands-On Machine Learning with ML.NET

Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
1. Auflage 2020
ISBN: 978-1-78980-429-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 296 Seiten

No detailed description available for "Hands-On Machine Learning with ML.NET".

Autoren/Hrsg.

Capellman, Jarred

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

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

Über Autor(innen)

Capellman Jarred:

Jarred Capellman is a Director of Engineering at SparkCognition, a cutting-edge artificial intelligence company located in Austin, Texas. At SparkCognition, he leads the engineering and data science team on the industry-leading machine learning endpoint protection product, DeepArmor, combining his passion for software engineering, cybersecurity, and data science. In his free time, he enjoys contributing to GitHub daily on his various projects and is working on his DSc in cybersecurity, focusing on applying machine learning to solving network threats. He currently lives just outside of Austin, Texas, with his wife, Amy.