03067cam a2200541Ki 4500 9780429398292 FlBoTFG 20260210180801.0 m o d cr ||||||||||| 200717s2020 flua fob 000 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429675683 (e-book) 0429675682 (e-book) 9780429398292 (electronic bk.) 0429398298 (electronic bk.) 9780429675669 (electronic bk. : Mobipocket) 0429675666 (electronic bk. : Mobipocket) 9780429675676 (electronic bk. : EPUB) 0429675674 (electronic bk. : EPUB) 9780367027056 (OCoLC)1196191610 (OCoLC)1200846302 (OCoLC-P)1196191610 QA300 MAT 000000 bisacsh MAT 003000 bisacsh PBW bicssc 515 23 Data science for mathematicians / edited by Nathan Carter. First edition. Boca Raton : Chapman & Hall/CRC, 2020. 1 online resource : illustrations (black and white) text txt rdacontent computer c rdamedia online resource cr rdacarrier Programming with data / Sean Raleigh -- Linear algebra / Jeffery Leader -- Basic statistics / David White -- Clustering / Amy S. Wagaman -- Operations research / Alice Paul and Susan Martonosi -- Dimensionality reduction / Sofya Chepushtanova, Elin Farnell, Eric Kehoe, Michael Kirby, and Henry Kvinge -- Machine learning / Mahesh Agarwal, Nathan Carter, and David Oury -- Deep learning / Samuel S. Watson -- Topological data analysis / Henry Adams, Johnathan Bush, Joshua Mirth. Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them. OCLC-licensed vendor bibliographic record. Mathematical analysis. 1802 Mathematical statistics. 1726 Data mining. 3098 Big data Mathematics. MATHEMATICS / General bisacsh MATHEMATICS / Applied bisacsh Carter, Nathan C., editor. Taylor & Francis https://www.taylorfrancis.com/books/9780429398292 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 91021 91020