Dror Baron

Motivation for data science (ECE 592 Module 1)

Curve fitting (ECE 592 Module 2)

Probability spaces and Bayes' rule (ECE 592 Module 3)

Random variables (ECE 592 Module 4)

Machine learning terminology (ECE 592 Module 5)

Minimum description length (ECE 592 Module 6)

Model complexity (ECE 592 Module 7A)

Information penalty for learning (ECE592 Module 7B)

Decoding perspective on model complexity (ECE592 Module 7C)

Kolmogorov complexity (ECE 592 Module 8)

Resource consumption of algorithms (ECE 592 Module 9)

Orders of growth (ECE 592 Module 10)

Multi resolution approximation (ECE 592 Module 43)