Programming ML.NET, 1st edition

Published by Microsoft Press (February 3, 2022) © 2022

  • Dino Esposito
  • Francesco Esposito
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With .NET 5's ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today's fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything students need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development.

  • Modeled on Esposito's popular Programming ASP.NET books
  • Use the same scenario-based approach Microsoft's team used to build the ML.NET framework itself
  • Discover ML.NET's dedicated mini-frameworks (“ML Tasks”) for specific classes of problems
  • Draw on Esposito's personal experience to apply these problems in the real world
  • Learn key concepts and realistic examples related to ML.NET neural networks
  • Leverage powerful Python-based machine learning tools in the .NET environment

Programming ML.NET will help students add machine learning and artificial intelligence to their tool belt, whether they have a background in these high-demand technologies or not.

CHAPTER 1 Artificially Intelligent Software 

CHAPTER 2 An Architectural Perspective of ML.NET

CHAPTER 3 The Foundation of ML.NET

CHAPTER 4 Prediction Tasks

CHAPTER 5 Classification Tasks

CHAPTER 6 Clustering Tasks

CHAPTER 7 Anomaly Detection Tasks

CHAPTER 8 Forecasting Tasks

CHAPTER 9 Recommendation Tasks

CHAPTER 10 Image Classification Tasks

CHAPTER 11 Overview of Neural Networks

CHAPTER 12 A Neural Network to Recognize Passports

APPENDIX A Model Explainability


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