Wrote Learning
Thoughts on machine learning, statistics, networks, LaTeX, Linux, and more.Topics covered
Subject ▸ Teaching
Teaching
CEE 697M: Big Data and Machine Learning for Engineers
This is a graduate course that delves into the theory of machine learning, broadly divided into supervised learning, unsupervised learning and neural networks. Slides and course material are available here.
Semesters taught: Spring 2020
CEE 260/MIE 273: Probability and Statistics for Engineers
This is a core undergraduate course for civil/mechanical/industrial engineering majors at UMass Amherst.
Semesters taught: Fall 2019, Fall 2020