Mathematical Analysis for Machine Learning and Data Mining - Rilegato

Simovici, Dan

Rilegato

ISBN 10: 9813229683 ISBN 13: 9789813229686

Casa editrice: World Scientific Pub Co Inc, 2018

Riassunto

Simovici introduces mathematical analysis for machine learning and data mining to computer science students who have completed the standard sequence of calculus, linear algebra, and discrete mathematics. He covers set-theory and algebra preliminaries, topology, measure and integration, functional analysis and convexity, and applications. His topics are linear spaces, the algebra of convex sets, topology, metric space topologies, topological linear spaces, measurable spaces and measures, integration, Banach spaces, the differentiability of functions defined on normed spaces, Hilbert spaces, convex functions, optimization, iterative algorithms, neural networks, regression, and support vector machines. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com)

Dettagli dell'edizione

• Editore: World Scientific Pub Co Inc
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 9813229683
• ISBN 13: 9789813229686
• Rilegatura: Copertina rigida
• Numero di pagine: 968
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile