1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

Lec 01. Introduction to Deep Learning

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

Lecture 1: Sets, Set Operations and Mathematical Induction

Lecture 5: Probability Theory (cont.); Stochastic Processes I

Lecture 2: Linear Algebra

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

Lec 1: Introduction to Principles of Microeconomics and Supply & Demand

Lecture 12: Time Series Analysis