Data Science for Mathematicians

Data Science for Mathematicians
Author :
Publisher : CRC Press
Total Pages : 545
Release :
ISBN-10 : 9780429675683
ISBN-13 : 0429675682
Rating : 4/5 (83 Downloads)

Book Synopsis Data Science for Mathematicians by : Nathan Carter

Download or read book Data Science for Mathematicians written by Nathan Carter and published by CRC Press. This book was released on 2020-09-15 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Data Science for Mathematicians Related Books

Data Science for Mathematicians
Language: en
Pages: 545
Authors: Nathan Carter
Categories: Mathematics
Type: BOOK - Published: 2020-09-15 - Publisher: CRC Press

DOWNLOAD EBOOK

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
Data Science for Mathematicians
Language: en
Pages: 0
Authors: Nathan C. Carter
Categories: Mathematics
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Dat
Mathematical Foundations for Data Analysis
Language: en
Pages: 299
Authors: Jeff M. Phillips
Categories: Mathematics
Type: BOOK - Published: 2021-03-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data
Data Science and Machine Learning
Language: en
Pages: 538
Authors: Dirk P. Kroese
Categories: Business & Economics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked
High-Dimensional Probability
Language: en
Pages: 299
Authors: Roman Vershynin
Categories: Business & Economics
Type: BOOK - Published: 2018-09-27 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

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