Szczegóły ebooka

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

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

Jarred Capellman

Ebook
Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. With this book, you’ll explore how to build ML.NET applications with the various ML models available using C# code.
The book starts by giving you an overview of ML and the types of ML algorithms used, along with covering what ML.NET is and why you need it to build ML apps. You’ll then explore the ML.NET framework, its components, and APIs. The book will serve as a practical guide to helping you build smart apps using the ML.NET library. You’ll gradually become well versed in how to implement ML algorithms such as regression, classification, and clustering with real-world examples and datasets. Each chapter will cover the practical implementation, showing you how to implement ML within .NET applications. You’ll also learn to integrate TensorFlow in ML.NET applications. Later you’ll discover how to store the regression model housing price prediction result to the database and display the real-time predicted results from the database on your web application using ASP.NET Core Blazor and SignalR.
By the end of this book, you’ll have learned how to confidently perform basic to advanced-level machine learning tasks in ML.NET.
  • 1. Getting started with Machine Learning and ML.NET
  • 2. Setting up the ML.NET environment
  • 3. Regression Model
  • 4. Classification Model
  • 5. Clustering Model
  • 6. Anomaly Detection Model
  • 7. Matrix Factorization Model
  • 8. Using ML.NET with .NET Core and Forecasting
  • 9. Using ML.NET with ASP.NET
  • 10. Using ML.NET with UWP
  • 11. Training and Building Production Models
  • 12. Using Tensorflow with ML.NET
  • 13. Using ONNX with ML.NET
  • Tytuł: Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
  • Autor: Jarred Capellman
  • Tytuł oryginału: Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
  • ISBN: 9781789804294, 9781789804294
  • Data wydania: 2020-03-27
  • Format: Ebook
  • Identyfikator pozycji: e_2abz
  • Wydawca: Packt Publishing