Lecture 1, Part I: Introduction of the Class

Lecture 1: Introduction to Individual Decision-Making

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

Lecture 1: Predicates, Sets, and Proofs

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data