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Textbook in PDF format

Dive into the world of machine learning for data-driven insights and seamless integration in .NET applications with the Ultimate Machine Learning with ML.NET.
The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities.
It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse.
The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.
Table of Contents
Introduction to ML.NET
Installing and Configuring ML.NET
ML.NET Model Builder and CLI
Collecting and Preparing Data for ML.NET
Machine Learning Tasks in ML.NET
Choosing and Tuning Machine Learning Algorithms in ML.NET
Inspecting and Interpreting ML.NET Models
Saving and Loading Models in ML.Net
Optimizing ML.NET Models for Accuracy
Deploying ML.NET Models with Azure Functions and Web API