Lectures

Lectures sessions will help you understand the theory and concepts behind visualization techniques applied to machine learning.

Lecture 1: Introduction to Visualization – Part I

• InfoVis slides

Lecture 2: Introduction to Visualization – Part II

• Perception slides
• Color slides

Lecture 3: Model Assessment

• Model Assessment slides

Lecture 4: Visualization for White-box Machine Learning Models

• White-box models slides

Lecture 5: Visualization for Black-box Machine Learning Models

• Black-box models slides

Lecture 6: Clustering and Dimensional Reduction

• Clustering slides

Lecture 7: Topological Data Analysis

• TDA slides