This repository contains material for SISBID module on Supervised Methods for Statistical Machine Learning.

Please note that the module numbers may change in different years when SISBID is offered. Therefore, the past material for this module are archived under the name "Module 4". However, the content corresponds to mateiral for the Supervised Machine Learning module.

Pre-Recorded Lectures

We will be using R throughout the course to illustrate the methods discussed in class. Therefore, R is a pre-requisite for the short coruse. If you have not previoulsy (or recently) worked with R, please watch the follwoing pre-recorded lectures (the password for accessing these files will be sent to participants separately):

• SISBID Pre-Recorded Video 2: R Lab 1

• SISBID Pre-Recorded Video 3: R Lab 2

Please watch the abvoe videos (related to the first set of slides, SISBID1.pdf) before the first class.

Videos from Live Lectures

Here are the videos from live lectures, which will be available after the end of each lecture (password required):

1. Day 1 (Wednesday July 20th, 11:30am-2:30pm PT): Introduction+Regression

2. Day 2 (Thursday July 21st, 8am-2:30pm PT): Classification+Tree-Based Methods

3. Day 3 (Friday July 22nd, 8am-11:30am PT): Causal Inference with ML