Mathematical Pictures at a Data Science Exhibition

Mathematical Pictures at a Data Science Exhibition
Author :
Publisher : Cambridge University Press
Total Pages : 339
Release :
ISBN-10 : 9781316518885
ISBN-13 : 1316518884
Rating : 4/5 (884 Downloads)

Book Synopsis Mathematical Pictures at a Data Science Exhibition by : Simon Foucart

Download or read book Mathematical Pictures at a Data Science Exhibition written by Simon Foucart and published by Cambridge University Press. This book was released on 2022-04-28 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: A diverse selection of data science topics explored through a mathematical lens.

Mathematical Pictures at a Data Science Exhibition Related Books

Mathematical Pictures at a Data Science Exhibition
Language: en
Pages: 339
Authors: Simon Foucart
Categories: Computers
Type: BOOK - Published: 2022-04-28 - Publisher: Cambridge University Press

GET EBOOK

A diverse selection of data science topics explored through a mathematical lens.
Mathematical Pictures at a Data Science Exhibition
Language: en
Pages: 340
Authors: Simon Foucart
Categories: Computers
Type: BOOK - Published: 2022-04-28 - Publisher: Cambridge University Press

GET EBOOK

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sen
Explorations in the Mathematics of Data Science
Language: en
Pages: 294
Authors: Simon Foucart
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

GET EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.
High-Dimensional Probability
Language: en
Pages: 299
Authors: Roman Vershynin
Categories: Business & Economics
Type: BOOK - Published: 2018-09-27 - Publisher: Cambridge University Press

GET EBOOK

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.