Summary of Computer Science 315 / Machine learning A - 742

Home SUNLearn SocSciLearn FMHSLearn EMSLearn

2025-MT00233 Computer Science 315 / Machine learning A - 742

2025-14195-742 Machine learning A / Masjienleer A - 742
2025-18139-315 Computer Science / Rekenaarwetenskap - 315

Manager: Steve Kroon
Facilitator: Johan Adam Du Preez
Facilitator: Herman Engelbrecht
Facilitator: Japie Engelbrecht
Facilitator: TRIENKO LUPS Grobler

Announcements

Discussions // Besprekings

Assignment 1 test / Taak 1 toets

Assignment Test 2: Quiz

Test 2 Part B/ Toets 2 Deel B

Test 3 Part A/ Toets 3 Deel A

Test 3 Part B/ Toets 3 Deel B

Questions on the HMM notes

Assignment test 4 / Taaktoets 4 2024

A2 2021

Course info

2025-MT00233 Computer Science 315 / Machine learning A - 742

Learning Technologies Support Desk

Click to email or call: 021 808 2222

Learning Technologies Support

Password Help

IT Help Desk

Get IT Help

SUNStudent

021 808 9111

Student Administration

Welcome to CS315/MLA742

Announcements

Discussions // Besprekings

Course administration / Kursusadministrasie

Course material // Kursusmateriaal

Assessment information / Assesseringinligting

Part 1: Course Introduction and Dimensionality Reduction / Deel 1: Kursusinleiding en dimensievermindering (Prof. Steve Kroon)

Software setup and Assignment 0 / Sagteware-opstelling en Taak 0

Assignment 1: PCA and LDA / Taak 1: HKA en LDA

Assignment 1 test / Taak 1 toets

Additional optional material for Part 1 / Addisionele opsionele materiaal vir Deel 1

Part 2: Supervised Classification / Deel 2: Gerigte Klassifikasie (Prof. Steve Kroon)

Assignment 2: Naive Bayes and Logistic Regression

Assignment Test 2: Quiz

Test 2 Part B/ Toets 2 Deel B

Additional optional material for Part 2 / Addisionele opsionele materiaal vir Deel 2

Part 3: Unsupervised Learning (Dr. Trienko Grobler)

Assignment 3: K-Means and GMM

Test 3 Part A/ Toets 3 Deel A

Test 3 Part B/ Toets 3 Deel B

Additional optional material for Part 3 /Addisionele opsionele materiaal vir Deel 3

Part 4: Hidden Markov Models (Lectures: Prof. Johan du Preez; Assignment: Prof. Steve Kroon)

Questions on the HMM notes

Assignment 4: Hidden Markov models / Opdrag 4: Verskuilde Markov modelle

Assignment test 4 / Taaktoets 4 2024

Additional resources / Addisionele hulpbronne

Hidden additional resources

A2 2021