國立虎尾科技大學 |

Mathematical pictures at a data science exhibition /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical pictures at a data science exhibition // Simon Foucart.
作者:	Foucart, Simon,
面頁冊數:	1 online resource (xx, 318 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 07 Apr 2022).
標題:	Computer science - Mathematics. -
電子資源:	https://doi.org/10.1017/9781009003933
ISBN:	9781009003933 (ebook)

Mathematical pictures at a data science exhibition /
Foucart, Simon,

Mathematical pictures at a data science exhibition /Simon Foucart. - 1 online resource (xx, 318 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendices that provide more background on some of the more abstract concepts.

ISBN: 9781009003933 (ebook)Subjects--Topical Terms:

528496
Computer science
--Mathematics.

LC Class. No.: QA76.9.B45 / F68 2022

Dewey Class. No.: 005.7

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