Binding: Paperback
Description: 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 productionize machine learning based software solutions Move from basic prediction to more complex tasks including categorization anomaly detection recommendations and image classification Perform both binary and multiclass classification Use clustering and unsupervised learning to organize data into homogeneous groups Spot outliers to detect suspicious behavior fraud failing equipment or other issues Make the most of ML. NET's powerful flexible forecasting capabilities Implement the related functions of ranking recommendation and collaborative filtering Quickly build image classification solutions with ML. NET transfer learning Move to deep learning when standard algorithms and shallow learning aren t enough Buy neural networking via the Azure Cognitive Services API or explore building your own with Keras and Tensor Flow
Title: Programming Ml
Author(s): Esposito Francesco
Publisher: Pearson Education (Us)
Barcode: 9780137383658
Pages: 256 Pages
Publication Date: 4/14/2022
Series: Developer Reference
Category: Artificial Intelligence