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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#

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789801781
Length 296 pages
Edition 1st Edition
Languages
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Author (1):
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Jarred Capellman Jarred Capellman
Author Profile Icon Jarred Capellman
Jarred Capellman
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Table of Contents (19) Chapters Close

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

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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