TY - BOOK AU - Carter, Nathan TI - Data science for mathematicians SN - 9780367027056 U1 - 515 PY - 2021/// CY - Boco Raton PB - CRC Press KW - Mathematical analysis KW - Mathematical statistics KW - Data mining N1 - Table of Contents Contents Chapter 1 Introduction 1 Chapter 2 Programming with Data Chapter 3 Linear Algebra Chapter 4 Basic Statistics Chapter 5 Clustering Chapter 6 Operations Research Chapter 7 Dimensionality Reduction Chapter 8 Machine Learning Chapter 9 Deep Learning Chapter 10 Topological Data Analysis Bibliography N2 - 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 ER -