Mathematics for Machine Learning [pdf]
(mml-book.github.io)来年出版予定の本を無料のPDFとして公開。全417ページ。
Part I: Mathematical Foundations
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Introduction and Motivation
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Linear Algebra
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Analytic Geometry
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Matrix Decompositions
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Vector Calculus
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Probability and Distribution
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Continuous Optimization
Part II: Central Machine Learning Problems
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When Models Meet Data
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Linear Regression
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Dimensionality Reduction with Principal Component Analysis
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Density Estimation with Gaussian Mixture Models
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Classification with Support Vector Machines
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