Previous Material

In Winter 2021, education decided to present material in a different format. Instead of detailed lessons, we presented 6 crash courses of topics during the first three weeks of the semester. This would help to trigger people’s interest in AI in a better manner than class-like lessons would.

The bottom four entries are displayed in reverse chronological order. If you would like to learn the material presented in those lessons, we suggest starting with the lesson at the bottom of the list (classification with logistic regression) and then working your way upwards.

Lightning Round -- Assorted AI Topics

Presented by Kevin Wang

Ethics

Presented by Kevin Wang

Unsupervised Learning

Presented by Kevin Wang

Natural Language Processing

Presented by Kevin Wang

Computer Vision

Presented by Kevin Wang​

Introduction and Basics of Deep Learning

Presented by Kevin Wang​

Convolutional Neural Networks

Presented by Kevin Wang

Regression, Part 2 (Application)

Presented by Robert Aung

Regression, Part 1 (Theory and Implementation)

Presented by Robert Aung

Classification with Logistic Regression

Presented by Kevin Wang