Discrete Mathematics for Data Science

Discrete Mathematics: An Open Introduction (Discrete Mathematics and Its Applications)

Data Science and Data Analytics: Opportunities and Challenges

CRC Press

CRC Press Data Science: Techniques and Intelligent Applications

CRC Press

Handbook of Geometric Constraint Systems Principles (Discrete Mathematics and Its Applications)

Discrete Mathematics

Linear Algebra

CRC Press

Advanced Mathematical Analysis and its Applications

Chapman and Hall/CRC

Exploring Data Science with R and the Tidyverse: A Concise Introduction

Chapman and Hall/CRC

Applied Mathematics for Scientists and Engineers (Textbooks in Mathematics)

A Guide to Business Mathematics

Mathematical Modelling Techniques

Chapman and Hall/CRC

Digital Image Processing

Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)

CRC Press

Handbook of Peridynamic Modeling (Advances in Applied Mathematics)

Data-Directed Mathematical Modeling

Lectures on Differential Geometry with Maple (Textbooks in Mathematics)

How to Think about Data Science (Chapman & Hall/CRC Data Science Series)

CRC Press

Fundamentals of Abstract Algebra (Textbooks in Mathematics)

Fundamentals of Data Science

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

Theory of Stochastic Integrals

Data Science and Statistics: Introduction to Data Science

Dynamics of Democratic Elections: A Mathematical Approach to Political Science

Mastering Health Data Science Using R - Chapman and Hall/CRC

Chapman and Hall/CRC