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

About the Author

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.

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