Book
Principles of Machine Learning
ISBN : 9789819753321
Author : Wenmin Wang
Publisher : Springer
Year : 2024
Language : English
Type : Book
Description : Perspectives Front Matter Pages 1-2 Download chapter PDF Introduction Wenmin Wang Pages 3-40 On Perspectives Wenmin Wang Pages 41-66 Frameworks Front Matter Pages 67-68 Download chapter PDF Probabilistic Framework Wenmin Wang Pages 69-123 Statistical Framework Wenmin Wang Pages 125-161 Connectionist Framework Wenmin Wang Pages 163-196 Symbolic Framework Wenmin Wang Pages 197-240 Behavioral Framework Wenmin Wang Pages 241-265 Paradigms Front Matter Pages 267-268 Download chapter PDF Supervised Learning Paradigm Wenmin Wang Pages 269-290 Unsupervised Learning Paradigm Wenmin Wang Pages 291-324 Reinforcement Learning Paradigm Wenmin Wang Pages 325-358 Other Learning Quasi-paradigm Wenmin Wang Pages 359-383 Tasks Front Matter Pages 385-385 Download chapter PDF Classification Task Wenmin Wang Pages 387-420 Regression Task Wenmin Wang Pages 421-447 Clustering Task Wenmin Wang Pages 449-479 Dimensionality Reduction Task Wenmin Wang Pages 481-505 1 2 Nextpage
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