Aug 29, 2025 · Mathematics is the foundation of machine learning. Math concepts play an important role in understanding how models learn from data and optimizing their performance.

Learn about the prerequisite mathematics for applications in data science and machine learning.

Broadly speaking, Machine Learning refers to the automated identification of patterns in data. As such it has been a fertile ground for new statistical and algorithmic developments.

This collection is far from exhaustive but it should provide a good foundation to start learning some of the mathematical concepts used in machine learning. Reach out on Twitter if you …

This comprehensive text covers the key mathematical concepts that underpin modern machine learning, with a focus on linear algebra, calculus, and probability theory.

The notes assume the reader has background knowledge of basic probability, statistics, linear algebra, and optimiza-tion.

This course aims to bridge the gap between a thorough knowledge of mathematics and the machine learning methods that are based on it.

Our Mathematics for Machine Learning course provides a comprehensive foundation of the essential mathematical tools required to study machine learning. This course is divided into …

Jul 14, 2025 · Master the essential math for ML: linear algebra, calculus, and statistics. Top courses to understand the theory behind neural networks and debug models effectively.

Behind every ML success there is Mathematics. All ML models are constructed using solutions and ideas from math. The purpose of ML is to create models for understanding thinking. If you …