Mathematics forms the backbone of machine learning algorithms. Concepts from linear algebra, probability, and calculus help models learn patterns and make predictions. Understanding mathematical foundations allows learners to build more efficient and accurate ML models.
1
Linear Algebra
Vectors and matrices are used to represent data and transformations.
2
Probability & Statistics
Used to model uncertainty and evaluate predictions.