Data Science for Mathematicians¶
Online resources supplementing the book
The book Data Science for Mathematicians is to appear in 2020 from Taylor and Francis.
Table of Contents¶
Foreward
- Author: Michael Pearson
- Why is this book important? See the Forward.
Chapter 1: Introduction¶
- Author: Nathan Carter (book editor)
- Digital resources for Chapter 1
Chapter 2: Programming with Data¶
Chapter 3: Linear Algebra¶
Chapter 4: Basic Statistics¶
Chapter 5: Clustering¶
Chapter 6: Operations Research¶
- Authors: Alice Paul and Susan Martonosi
- Digital resources for Chapter 6
Chapter 7: Dimensionality Reduction¶
- Authors: Sofya Chepushtanova, Elin Farnell, Eric Kehoe, Michael Kirby, and Henry Kvinge
- Digital resources for Chapter 7
Chapter 8: Machine Learning¶
- Authors: Mahesh Agarwal, Nathan Carter, and David Oury
- Digital resources for Chapter 8
Chapter 9: Deep Learning¶
Chapter 10: Topological Data Analysis¶
- Authors: Henry Adams, Johnathan Bush, and Joshua Mirth
- Digital resources for Chapter 10