TY  - BOOK
AU  - Esposito,Dino
AU  - Esposito,Francesco
TI  - Programming ML.NET
SN  - 978-0-13-738365-8
AV  - QA 76.76 E87 2022 
U1  - 006.31 23
PY  - 2022///]
CY  - [London]
PB  - published with the authorization of Microsoft Corporation by Pearson Education, Inc
KW  - COMPUTER SOFTWARE
KW  - DEVELOPMENT
KW  - MACHINE LEARNING
N1  - Includes index; "Professional" -- Cover; Chapter 1 : Artificially intelligent software -- Chapter 2 : An architectural perspective on ML.NET -- Chapter 3 : The foundation of ML.NET -- Chapter 4 : Prediction tasks -- Chapter 5 :  Classification task -- Chapter 6 : Clustering task -- Chapter 7 : Anomaly detection -- Chapter 8 : Forecasting task -- Chapter 9 : Recommendation tasks -- Chapter 10 : Image classification tasks -- Chapter 11 : Overview of neutral networks -- Chapter 12 : A neural network to recognize passports -- Apppendix A : Model explainability
N2  - "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 Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks ({28}ML Tasks
ER  -