Takaisin kaikki kurssit
Hakuaika alkaa 1.6.2023
Machine learning
Yksittäinen kurssi
Course contents
- Exploratory data analysis
- Dimensionality reduction
- PCA
- Regression and classification
- Clustering
- Deep learning
- Reinforcement learning
Learning outcomes
After completing the course, the students
- can formalise applications as ML problems and solve them using basic ML methods
- can perform basic exploratory data analysis
- understand the meaning of the train-validate-test approach in machine learning
- can apply standard regression and classification models on a given data set
- can apply simple clustering and dimensionality reduction techniques on a given data set
- are familiar with and can explain the basic concepts of reinforcement learning.
Teaching methods
The course follows a schedule and includes lectures, self study, assignments, and a project work. The lectures are available online.
Teaching times on campus:
Lectures:
- Wednesdays at 14:15–16
- Fridays at 12:15–14
Exercises:
- Mondays at 8:15–10
- Tuesdays at 16:15–18
- Wednesdays at 8:15–10
- Thursdays at 14:15–18
- Fridays at 14:15–16
Workload
5 credits approx. 134 hours of work divided into:
- Lectures + self-study: 10*(2+3) = 50 hours
- Assignments: 6 * 9 = 54 hours
- Project work: 26 hours
- Peer-grading: 4 hours
More information in the Aalto University study guide.
You can get a digital badge after completing this course.
machine learning koneoppiminen ML data analyysi luokittelu regressio klusterointi
Vastuuopettaja
Aalto-yliopisto
Pekka Marttinen, Apulaisprofessori
pekka.marttinen(at)aalto.fi
Aalto-yliopisto
Stephan Sigg, Apulaisprofessori
stephan.sigg(at)aalto.fi
Lisätietoa kursseista ja niiden suorittamisesta
Aalto-yliopisto
Kirsi Viitaharju
kirsi.viitaharju(at)aalto.fi
Hakua koskevat kysymykset
FITech-verkostoyliopisto
Fanny Qvickström, Opintoasioiden suunnittelija
info(at)fitech.io
Hakuaika alkaa 1.6.2023
Kategoria:
ICT-opinnot
Teema:
Tekoäly ja koneoppiminen
Kurssikoodi:
CS-C3240
Opintopisteet
5 ECTS
Hinta:
0 €
Kurssin taso:
Opetusaika:
6.9.–13.10.2023
Haun alkamispäivä:
01.06.2023
Viimeinen hakupäivä:
29.8.2023
Järjestävä yliopisto:
Aalto-yliopisto
Kuka voi hakea:
Aikuisopiskelija,
Tutkinto-opiskelija
Tutkinto-opiskelija
Opetustapa:
Monimuoto-opinnot,
Verkko-opetus
Verkko-opetus
Opetuskieli:
Englanti
Esitietovaatimukset:
Matrix algebra, probability theory, basic programming skills