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Mathematical analysis for machine learning and data mining/ by

006.3101515
Si 593

Simovici, Dan Mathematical analysis for machine learning and data mining/ by Dan Simovici - New Jersey: World Scientific, [2018]
xv, 968 pages, 23cm. Content notes : Preface,
Part I. Set-Theoretical and Algebraic Preliminaries
Preliminaries
Linear Spaces
Algebra of Convex Sets
Part II. Topology,
Topology
Metric Space Topologies
Topological Linear Spaces
Part III. Measure and Integration,
Measurable Spaces and Measures
Integration
Part IV. Functional Analysis and Convexity,
Banach Spaces
Differentiability of Functions Defined on Normed Spaces
Hilbert Spaces
Convex Functions
Part V. Applications,
Optimization
Iterative Algorithms
Neural Networks
Regression
Support Vector Machines
Bibliography,
Index 9789813229686 * Machine Learning-Mathematics Data Mining-Mathematics

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