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UBC CPSC 330: Applied Machine Learning (2025W1)

Things you should know

Syllabus
CPSC 330 Documents
Course Learning Objectives

Lectures

Lecture 1: Course Introduction
Lecture 2: Terminology, Baselines, Decision Trees
Lecture 3: Machine Learning Fundamentals
Lecture 4: \(k\)-Nearest Neighbours and SVM RBFs

Section slides

Section 102
- Lecture 1
- Lecture 2
- Lecture 3
- Lecture 4
- Lecture 5
- Lecture 6
- Lecture 7
- Lecture 8
- Lecture 9
- Lecture 10
- Lecture 11
- Lecture 12
- Lecture 13
- Lecture 14
- Lecture 15
- Lecture 16
- Lecture 17
- Lecture 18
- Lecture 19
- Lecture 20
- Lecture 21
- Lecture 22
- Lecture 23
- Lecture 24

Attribution

LICENSE

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By Varada Kolhatkar

© Copyright 2023.