This is the home page for the 2019 iteration of the course BAIT 509 at the University of British Columbia, Vancouver, Canada. The core syllabus can be found at sauder_syllabus.pdf, but anything listed on this website will take precedence.
This repository is avaiable as a website.
By the end of the course, students are expected to be able to:
At your service!
Details about class meetings will appear here as they become available. Readings are optional, but should be useful.
|1||Intro to the course, tools, and ML||ISLR Section 2.1|
|2||Irreducible and Reducible Error||ISLR Section 2.2 (you can stop in 2.2.3 once you get to the “The Bayes Classifier” subsection).|
|3||Local methods||ISLR’s “K-Nearest Neighbors” section (in Section 2.2.3) on page 39; and Section 7.6 (“Local Regression”).|
|4||Model Selection||ISLR Section 5.1; we’ll be touching on 6.1, 6.2, and 6.3 from ISLR, but only briefly.|
|5||Classification and Regression Trees||ISLR Section 8.1|
|6||Refining business questions||This blog post by datapine does a good job motivating the problem of asking good questions. This blog post by altexsoft does a good job outlining the use of supervised learning in business.|
|7||Ensembles||ISLR Section 8.2|
|8||Beyond the mean and mode|
|9||SVM||Section 9.1, 9.2, 9.4 in ISLR. The details aren’t all that important. 9.3 is quite advanced, but I’ll be discussing the main idea behind it in class.|
|10||SVM continuation; wrapup; alternatives to accuracy||Alternative measures, and ROC|
Links to assessments will be made available when they are ready. The deadlines listed here are the official ones, and take precendence over the ones listed in the sauder syllabus.
|Participation||January XX at 18:00||10%|
|Assignment 1||January XX at 18:00||20%|
|Assignment 2||January XX at 18:00||20%|
|Assignment 3||February XX at 18:00||20%|
|Final Project||February XX at 23:59||30%|
Please submit everything to UBC Canvas.
Want to talk about the course outside of lecture? Let’s talk during these dedicated times.
|Tomas Beuzen||Tuesdays 13:00-14:00||ESB 1045|