Programming ML.NET

by Dino Esposito, Francesco Esposito

The expert guide to creating production machine learning solutions with ML.NET!   ML.NET brings the power of machine learning to all .NET developers— and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Esposito's best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsoft's team used to build ML.NET itself. After a foundational overview of ML.NET's libraries, the authors illuminate mini-frameworks (“ML Tasks”) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network— showing how to leverage popular Python tools within .NET. 14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how Build smarter machine learning solutions that are closer to your user's needs See how ML.NET instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price prediction Implement data processing and training, and “productionize” machine learning–based software solutions Move from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classification Perform both binary and multiclass classification Use clustering and unsupervised learning to organize data into homogeneous groups Spot outliers to detect suspicious behavior, fraud, failing equipment, or other issues Make the most of ML.NET's powerful, flexible forecasting capabilities Implement the related functions of ranking, recommendation, and collaborative filtering Quickly build image classification solutions with ML.NET transfer learning Move to deep learning when standard algorithms and shallow learning aren't enough “Buy” neural networking via the Azure Cognitive Services API, or explore building your own with Keras and TensorFlow

256 pages, Kindle Edition

Published February 3, 2022

About the author

Dino Esposito is one of the world’s authorities on web technology and software architecture. Over years, Dino developed hands-on experience and skills in architecting and building distributed systems for banking and insurance companies and, in general, in industry contexts where the demand for security, optimization, performance, scalability, interoperability is dramatically high. Dino is also a prolific author, Every month, at least five different magazines and Web sites throughout the world publish Dino's articles covering topics ranging from Web development to AJAX architectures and from data access to Silverlight and design patterns. Dino published an array of books, most of which are considered state-of-the-art in their respective areas. His recent books are Programming ASP.NET 3.5—Core Reference, Introducing Microsoft ASP.NET AJAX, and Programming Microsoft ASP.NET 2.0 Applications—Advanced Topics. Dino speaks regularly at industry conferences all over the world, including Microsoft TechEd, DevConnections, and premiere European conferences such as DevWeek and Basta.