Applied Machine Learning - Week 5

Monday 18th of May (afternoon):
Lectures: Time series, Natural Language Processing (NLP), and Transformers.

Exercise: Consider the simple example LSTM making FlightPassengerPredictions.ipynb on 1949-1961 airline data.
     Alternatively, use an LSTM to do Natural Language Processing, in this case estimate if a review was good or bad based on IMDB data.
     And/or simply work on final project.

Wednesday 20th of May (morning):
Lectures: Fast data loaders and Foundation Models (Inar Timiryasov).

Exercise: Work on final project.
     Possibly have a look at the following example of a fast Data Loader.

Wednesday 20th of May (afternoon):
Lectures: Leasons from past ML experiences, summary of curriculum, and words on final project.

Exercise: Work on final project work.

Last updated: 14th of May 2026 by Troels Petersen.