Teaching

Statistical and Machine Learning (40.319)

WeekTopicLecture slides and HW
1 - 6
https://people.sutd.edu.sg/~shaowei_lin/2020-sml/
7Recess (9 - 13 Mar)
8Information theory

Clustering
Information theory

Clustering
9Principal component analysis (PCA)

Time series
PCA

Time series

HW 3 solutions
10Bayesian optimization with Gaussian processesBayesian optimization with Gaussian processes
11Hidden Markov models (HMMs)
HMMs
12Continuous assessment 1 (Wed 15 Apr)

Multi-armed bandit problem
13Markov decision processes
14Continuous assessment 2

Past courses

(Fall 2019) Probability

(Spring 2019) Statistical and Machine Learning

(Fall 2018) 10.004: Advanced Mathematics II

(May 23, 2018) NVIDIA Deep Learning Institute (DLI) Workshop:
Fundamentals of Deep Learning for Computer Vision

(Spring 2018) 10-007: Modelling the Systems World

(Fall 2017) Real Analysis