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SkafteNicki committed Nov 17, 2023
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* Postdoc [Nicki Skafte Detlefsen](https://skaftenicki.github.io/), <[email protected]>
* Professor [Søren Hauberg](http://www2.compute.dtu.dk/~sohau/), <[email protected]>
* 5 ECTS (European Credit Transfer System), corresponding to 140 hours of work
* 3 week period of January 2023
* Master course
* 3 week period of January
* Master level course
* Grade: Pass/not passed
* Type of assessment: weekly project updates + final oral examination/presentation
* Recommended prerequisites: DTU course [02456 (Deep Learning)](https://kurser.dtu.dk/course/2021-2022/02456) or
* Type of assessment: oral presentation + project report
* Recommended prerequisites: DTU course [02456 (Deep Learning)](https://kurser.dtu.dk/course/02456) or
experience with the following topics:
* General understanding of machine learning (datasets, probability, classifiers, overfitting etc.)
* Basic knowledge about deep learning (backpropagation, convolutional neural networks, auto-encoders etc.)
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[homepage](https://skaftenicki.github.io/dtu_mlops/) which is the corresponding
[Github pages](https://pages.github.com/) version of this repository that is more nicely
rendered, that also includes some special HTML magic provided by
[just the docs](https://github.com/just-the-docs/just-the-docs).
[Material for MkDocs](https://squidfunk.github.io/mkdocs-material/).

The course is divided into sessions, denoted by capital **S**, and modules, denoted by capital **M**. A session
corresponds to full day of work if you are following the course, meaning approx 9 hours of work. Each session (**S**)
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author = {Nicki Skafte Detlefsen},
title = {Machine Learning Operations},
howpublished = {\url{https://github.com/SkafteNicki/dtu_mlops}},
year = {2022}
year = {2023}
}
```

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