πŸ—“οΈ Week 02 - Introduction to Linear Regression

Theme: Supervised Learning

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Important

This week’s slides have now been updated.

This week in the lecture, you’ll be introduced to the first family of algorithms in this course: linear regression models. We will also introduce the concept of supervised learning and the main differences between regression and classification problems.

Linear regression is the most fundamental and widely used machine learning algorithm. It is the basis for many other algorithms and the first algorithm you should learn when studying machine learning.

πŸ‘©πŸ»β€πŸ« Lecture Material

We still have slides this week, but our lecture material will be in the form of Quarto Notebooks .qmd files starting next week.

Either click on the slide area below or click here to view it in fullscreen.

Use your keypad to navigate the slides.

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact πŸ“§ .–>