Teaching

Machine Learning Operations

I am the main lecture on course 02476 Machine Learning Operations at Technical University of Denmark, having developed most of the material myself.

Webpage: https://skaftenicki.github.io/dtu_mlops

DTU course page: https://kurser.dtu.dk/course/02476

The course introduces students to a number of coding practices that will help them organization, scale, monitor and deploy machine learning models either in a research or production setting. To provide hands-on experience with a number of frameworks, both local and in the cloud, for doing large scale machine learning models.

Supervision

Feel free to reach out to me if you have an interesting project proposal and is missing a supervisor.

Current students:

YearStudentsProject
2023Thomas SpyrouMonitoring black-box classification models in machine learning systems
2023Laurine M DargaudDeveloping a spontaneous speech-based machine learning model for the early detection of dementia
2023Spyridon VlachospyrosContext-aware object detection using deep learning
2023Jonah Jad TabbalAutoML and Meta-learning through data science competitions
2023Mads Dudzik MøllerMLOps in a Deep Learning enabled production environment
2023Joachim Andersson and Jonas HoffmannExploring the Extensions and Limitations of Metadata Archaeology via Probe Dynamics
2023Julius Radzikowski and Carl SchmidtUsing meta-labeled data to improve deep-learning classification model robustness, and boost data quality

Former students:

YearStudentsProject
2022Simon Moe SørensenDeep multimodel modelling of images and text from wine
2022Victor Girardin FlindtFault detection in industrial production processes using Deep learning methods
2022Jakub Wladyslaw SzrederCreating a Machine learning pipeline for training and evaluation of models for medical data
2022Nicolai WeisbjergQuantifying Uncertainty in Semantic Segmentation using Bayesian Deep Metric Learning
2022Frederik Kjær and Jonas Christian Rask LevinConstruction of a Recommendation system for best next buy recommendations
2022Bekarys GabdrakhimovEnd-to-end machine learning project on classification of EEG signal of depressed patients
2022Xianhao LiuContinues piecewise affine based normalizing flows
2022Andri Geir Arnarson and Asger Frederik GræsholtAutomation of a fruit sorting system
2022Gustav Selfort HartzUsing deep learning and transformer models for processing, searching, and tagging legal documents
2022Marco PlacentiMachine Learning Pipeline Engineering with Amazon Web Services
2021Frederik Kromann Hansen and Jonas Søbro ChristophersenInvestigating osteoarthritis via x-ray images using deep learning
2021Morten Holm Thomsen and Simon Kristian JacobsenDevelopment of Graph Neural Networks for prediction of financial data
2020Kathrine Thorup HagedornEntertainment Recommender System complying to the GDPR ruleset
2020Dominik Mate Kovacs and Zoltán KovácsGenerating and Detecting Deepfakes
2018Julie Liv Cetti HansenFoci detection in cells using deep learning