544 Pages
151 B/W Illustrations
by
Chapman & Hall
544 Pages
151 B/W Illustrations
by
Chapman & Hall
544 Pages
151 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
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... Read more
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
Biography
Nathan Carter is a professor at Bentley University.
