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 to 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 produ