Model-Based Machine Learning.
John Michael Winn & Christopher M. Bishop & Thomas Diethe & John Guiver & Yordan Zaykov.
A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to real world problems. This book tackles this challenge through model-based machine learning, focusing on understanding the assumptions encoded in a machine learning system.
Sveska:
1
Godina:
2024
Izdanje:
1
Izdavač:
Chapman and Hall/CRC.
Jezik:
english
Strane:
469
ISBN 10:
1498756816
ISBN 13:
9781498756815
Fajl:
PDF, 45.49 MB
IPFS:
,
english, 2024