https://mml-book.github.io/ Well, this is literally almost all the math necessary for machine learning. Covering everything in great detail requires more than ~400 ...

These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained ...

This is a project created by Aditya Reddy, Claire Guo, and Cole Wasserman for a final project for freshman year Discrete Mathematics at New York University. The aim of the project is to provide an ...

Abstract: To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for ...

Book Abstract: To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need ...

This course is available on the MSc in Applicable Mathematics, MSc in Financial Mathematics ... a range of computational problems in financial markets and illustrates how they can be addressed by ...