Lecture 1: Introduction to Individual Decision-Making

Lecture 1, Part I: Introduction of the Class

Lecture 1, Part II: Introduction of Financial Markets, Financial Terms and Concepts

Lecture 02: Fundamental Methods of Projection Theory

Lecture 03: Projection Theory in Euclidean Space

Lecture 06: Projections and Smoothing

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

3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch

Lecture 1: Predicates, Sets, and Proofs