Data science for mathematicians /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Carter, Nathan C. (Editor)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton, FL : Chapman & Hall/CRC, [2021]
Edition:First edition.
Series:CRC Press/Chapman and Hall Handbooks in Mathematics
Subjects:
Mathematical analysis.
Mathematical statistics.
Data mining.
Big data > Mathematics.
Data Mining
Analyse mathématique.
Exploration de données (Informatique)
Données volumineuses > Mathématiques.
MATHEMATICS > General.
MATHEMATICS > Applied.
Mathematical statistics
Mathematical analysis
Data mining
handbooks.
Handbooks and manuals.
Guides et manuels.
Online Access:Texto completo
Table of Contents:
  • 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.

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