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Hands-On Machine Learning with ML.NET

You're reading from Hands-On Machine Learning with ML.NET Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781789801781

Length 296 pages

Edition 1st Edition

Languages

C#

Tools

.NET Core

Concepts

Machine Learning

Author (1):

Jarred Capellman

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Table of Contents (19) Chapters

Preface

1. Section 1: Fundamentals of Machine Learning and ML.NET

2. Getting Started with Machine Learning and ML.NET FREE CHAPTER

3. Setting Up the ML.NET Environment

4. Section 2: ML.NET Models

5. Regression Model

6. Classification Model

7. Clustering Model

8. Anomaly Detection Model

9. Matrix Factorization Model

10. Section 3: Real-World Integrations with ML.NET

11. Using ML.NET with .NET Core and Forecasting

12. Using ML.NET with ASP.NET Core

13. Using ML.NET with UWP

14. Section 4: Extending ML.NET

15. Training and Building Production Models

16. Using TensorFlow with ML.NET

17. Using ONNX with ML.NET

18. Other Books You May Enjoy

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Setting up your development environment

Fortunately, configuring your environment for ML.NET is relatively easy. In this section, we will be installing Visual Studio 2019 and .NET Core 3. If you are unsure whether you have either installed, please observe the following steps. In addition, there are some organizational elements and processes to establish early on as we proceed through this book and you begin experimenting on your own.

Installing Visual Studio

At the heart of ML.NET development is Microsoft Visual Studio. For all samples and screenshots used throughout this book, Microsoft Visual Studio 2019 Professional on Windows 10 19H2 will be used. At the time of writing, 16.3.0 is the latest version. Please use the latest version available. If you do not have Visual Studio 2019, a fully featured Community version is available for free on www.visualstudio.com.

For the scope of this book as mentioned in Chapter 1, Getting Started with Machine Learning and ML.NET, we will be creating...

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Authors (1)

Capellman

Capellman

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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