🗓️ Week 01 - Introduction and Revision

Author

Affiliation

Dr. Simone Rossi

EURECOM

In this first week, we will cover what you can expect to learn from this course and the course logistics: how the course is structured, how to get the most out of it, and how to get help when you need it. We will also revise some of the key concepts from linear algebra and probability theory that will be used throughout the course.

📑 Lecture Slides

• Introduction
• Revision of Linear Algebra
• Revision of Probability

Print-friendly version

• Introduction
• Revision of Linear Algebra
• Revision of Probability

📚 Recommended Reading

• Murphy (2022): Chapters 2 and 3 (Probability)
• Murphy (2022): Chapter 7 (Linear Algebra)

📙 References

Murphy, Kevin P. 2022. Probabilistic Machine Learning: An Introduction. MIT Press. http://probml.github.io/book1.