<p><b>The expert guide to creating production machine learning solutions with ML.NET! <o></o:p></b></p><p><o> </o:p></p><p>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,
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