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Preface
Mathematics for Machine Learning
Overview of Machine Learning Concepts
Classification
Regression
Clustering
Representation Learning
Vectors, Functions and the Spaces they live in
Vector spaces
Polynomials
Basis Functions Form a Vector Space
Subspaces
Metric spaces
Normed spaces
Inner product spaces
Transposition
Representer Theorem for Linear Classifiers
Appendix
Detailed Proofs
Repository
Open issue
Index
