Machine Learning for High-Risk Applications
A

Machine Learning for High-Risk Applications

Machine learning
machine learning risk management XGBoost Python Explainable AI model validation NIST AI framework
Author
Patrick Hall, James Curtis, Parul Pandey
Publisher
ALIST
Year
2025
Language
Russian
41
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Machine Learning. Portfolio of Real Projects

Machine Learning. Portfolio of Real Projects

Alexey Grigoriev

Machine Learning for High-Risk Applications: Approaches to Responsible AI

Machine Learning for High-Risk Applications: Approaches to Responsible AI

Patrick Hall, James Curtis, Parul Pandey

Applied Machine Learning and Artificial Intelligence for Engineers

Applied Machine Learning and Artificial Intelligence for Engineers

Jeff Probst

Machine Learning. Design Patterns

Machine Learning. Design Patterns

Valliappa Lakshmanan, Sara Robinson, Michael Munn

Machine Learning

Machine Learning

Henrik Brink, Joseph Richards, Mark Fetherolf

Grokking Machine Learning

Grokking Machine Learning

Serrano Luis

Machine Learning: Pocket Reference. A Quick Guide to Structured Machine Learning Methods in Python

Machine Learning: Pocket Reference. A Quick Guide to Structured Machine Learning Methods in Python

Matt Harrison

Human-in-the-loop machine learning

Human-in-the-loop machine learning

Robert (Munro) Monarch

Building Machine Learning Systems with Python. 2nd Edition

Building Machine Learning Systems with Python. 2nd Edition

Luís Pedro Coelho, Willy Richert

Machine Learning in Elastic Stack

Machine Learning in Elastic Stack

Rich Collier, Camilla Montonen, Bahaaldin Azarmi