Timeplan 2024 Vår - lærer Daniel Kumazawa Morais -
Daniel Kumazawa Morais
Uke 15
Mandag
12:15-16:00 - 08.04.2024
Practical
Statistics for big data
6
Statistics for big data
6
- Introduction to tidy models and machine learning using R. 4h practice
Tirsdag
Onsdag
10:15-14:00 - 10.04.2024
Practical
Modelling and Interpretation
7
Modelling and Interpretation
7
- Export model assessment data using R and Linux (TA) - 1.5h practice
- Fifth assignment: Create a Linux script for exporting the model quality information graphs and indices and interpret the outcomes.
Torsdag
08:15-10:00 - 11.04.2024
Lecture
Turning data into actionable insights
5
Turning data into actionable insights
5
- Knowledge base management – Lecture by Xavier Pivan, Data Scientist and Oceanographer at HUB Ocean
Fredag