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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

Breaking down ASP.NET Core

Building on the same .NET Core technology discussed in Chapter 8, Using ML.NET with .NET Core and Forecasting, ASP.NET Core adds a powerful web framework. This web framework includes a powerful rendering engine, Razor, in addition to supporting scalable representational state transfer (REST) services. The example in this chapter will use this technology to create our file classification frontend. In the next two sections, we will dive into the ASP.NET Core architecture and discuss Blazor, the new web framework from Microsoft.

Understanding the ASP.NET Core architecture

At a high level, ASP.NET Core builds on top of .NET Core, providing a fully-featured web framework. As with .NET Core, ASP.NET Core runs on Windows, Linux, and macOS, in addition to allowing deployments to x86, x64, and Advanced RISC Machine (ARM) CPU architectures.

A typical ASP.NET Core application includes the following:

  • Models
  • Views
  • Controllers

These components form a common web architecture...

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