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Model-Based Machine Learning

Model-Based Machine Learning

John Michael Winn & Christopher M. Bishop & Thomas Diethe & John Guiver & Yordan Zaykov
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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.
年:
2024
出版社:
Chapman and Hall/CRC
语言:
english
文件:
PDF, 45.01 MB
IPFS:
CID , CID Blake2b
english, 2024
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