🗓️ Week 09 - Dimensionality reduction

Theme: Unsupervised Learning

Important

🚧 This website is still in construction. The pages will keep being updated over the next few weeks.

Welcome to the nineth week of this course!

We finish our exploration of unsupervised learning with yet another type of unsupervised learning: dimensionality reduction. We explain what dimensionality is about and what it is used for before introducing the most common and arguably the most well-known dimensionality reduction algorithm by far: PCA (Principal Component Analysis). We also have a look at a non-linear dimensionality reduction algorithm: UMAP.

We’ll be releasing the topic of your last summative (due on W11+1) this week!