Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET

CyberSecurity Summary

This comprehensive guide, "Ultimate Machine Learning with ML.NET," authored by Kalicharan Mahasivabhattu and Deepti Bandi and published by Orange Education Pvt Ltd, offers a thorough exploration of ML.NET. The book covers foundational machine learning concepts and terminology, detailing the framework's features, benefits, and applications across various industries. Readers will learn to build, optimize, and deploy powerful machine learning models using tools like ML.NET Model Builder and CLI, with a strong emphasis on data preparation, algorithm selection, hyperparameter tuning, and cross-validation. Furthermore, the text provides practical guidance on saving, loading, and securely deploying ML.NET models as RESTful services with Azure Functions and Web API, along with strategies for monitoring and troubleshooting in production environments.
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