{"product_id":"programming-ml-net-9780137383658","title":"Programming ML.Net","description":"\u003cp\u003e • Author(s): Dino Esposito\u003cbr\u003e • Publisher: Microsoft Press\u003cbr\u003e • Publisher Imprint: Microsoft Press\u003cbr\u003e • BISAC: Data Science - Data Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe expert guide to creating production machine learning solutions with ML.NET!\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eML.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.\u003c\/p\u003e \u003cp\u003e14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eBuild smarter machine learning solutions that are closer to your user's needs\u003c\/li\u003e \u003cli\u003eSee how ML.NET instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price prediction\u003c\/li\u003e \u003cli\u003eImplement data processing and training, and \"productionize\" machine learning-based software solutions\u003c\/li\u003e \u003cli\u003eMove from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classification\u003c\/li\u003e \u003cli\u003ePerform both binary and multiclass classification\u003c\/li\u003e \u003cli\u003eUse clustering and unsupervised learning to organize data into homogeneous groups\u003c\/li\u003e \u003cli\u003eSpot outliers to detect suspicious behavior, fraud, failing equipment, or other issues\u003c\/li\u003e \u003cli\u003eMake the most of ML.NET's powerful, flexible forecasting capabilities\u003c\/li\u003e \u003cli\u003eImplement the related functions of ranking, recommendation, and collaborative filtering\u003c\/li\u003e \u003cli\u003eQuickly build image classification solutions with ML.NET transfer learning\u003c\/li\u003e \u003cli\u003eMove to deep learning when standard algorithms and shallow learning aren't enough\u003c\/li\u003e \u003cli\u003e\"Buy\" neural networking via the Azure Cognitive Services API, or explore building your own with Keras and TensorFlow\u003c\/li\u003e \u003c\/ul\u003e","brand":"Microsoft Press","offers":[{"title":"Paperback","offer_id":45029554815127,"sku":"9780137383658","price":3847.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780137383658.webp?v=1769204112","url":"https:\/\/atlanticbooks.com\/products\/programming-ml-net-9780137383658","provider":"Atlantic Books","version":"1.0","type":"link"}