Ultimate Machine Learning with ML.NET
Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Ultimate Machine Learning with ML.NET
Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
About this book
"Empower Your. NET Journey with Machine Learning"
Book DescriptionDive 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 Contents1. Introduction to ML. NET2. Installing and Configuring ML. NET3. ML. NET Model Builder and CLI4. Collecting and Preparing Data for ML. NET5. Machine Learning Tasks in ML. NET6. Choosing and Tuning Machine Learning Algorithms in ML. NET7. Inspecting and Interpreting ML. NET Models8. Saving and Loading Models in ML. Net9. Optimizing ML. NET Models for Accuracy10. Deploying ML. NET Models with Azure Functions and Web API Index
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- About the Authors
- About the Technical Reviewer
- Acknowledgements
- Preface
- Get a Free eBook
- Errata
- Table of Contents
- 1. Introduction to ML.NET
- 2. Installing and Configuring ML.NET
- 3. ML.NET Model Builder and CLI
- 4. Collecting and Preparing Data for ML.NET
- 5. Machine Learning Tasks in ML.NET
- 6. Choosing and Tuning Machine Learning Algorithms in ML.NET
- 7. Inspecting and Interpreting ML.NET Models
- 8. Saving and Loading Models in ML.Net
- 9. Optimizing ML.NET Models for Accuracy
- 10. Deploying ML.NET Models with Azure Functions and Web API
- Index