Mathematics for Machine Learning

Course Details

This lecture was held by Mahammad Namazov, during the Summer semester of the academic year of 2023/24 at Paderborn University. Course materials were developed by using the Mathematics for Machine Learning book by Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong.

Course Contents

Lecture 1: Introduction to MML

• Lecture Slides: Lecture 1
• Exercises:

Lecture 2: Vector Spaces

• Lecture Slides: Lecture 2
• Exercises:

Lecture 3: Linear Transformation

• Lecture Slides: Lecture 3
• Exercises:

Lecture 4: Linear Algebra and Analytic Geometry

• Lecture Slides: Lecture 4
• Exercises:

Lecture 5: Vector Calculus

• Lecture Slides: Lecture 5
• Exercises:

Lecture 6: Probability Theory

• Lecture Slides: Lecture 6
• Exercises:

Lecture 8: Probability Distribution

• Lecture Slides: Lecture 8
• Exercises:

Lecture 9: Optimization and Regression

• Lecture Slides: Lecture 9
• Exercises:

Lecture 10: Dimensionality Reduction

• Lecture Slides: Lecture 10
• Exercises:

Lecture 11: Multi-Layer Perceptron

• Lecture Slides: Lecture 11
• Exercises: