Programming ML.NET

Unlock the potential of machine learning with Programming ML.NET by Dino Esposito. Published in 2022, this comprehensive guide spans 256 pages, offering .NET developers the tools they need to create robust production machine learning applications. This expert resource is modeled after Esposito's acclaimed work, Programming ASP.NET, and employs a scenario-based approach that mirrors the development process of ML.NET itself.

Dive deep into the foundational components of ML.NET's libraries, and explore practical mini-frameworks designed for essential ML tasks including regression, classification, ranking, and anomaly detection. Each section is enriched with valuable insights, making complex concepts accessible and applicable in real-world situations. Whether you're a seasoned developer or just beginning your journey in machine learning, Programming ML.NET provides the knowledge and skills to elevate your projects and bring your machine learning ideas to fruition.