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@@ -14,11 +14,11 @@ | |
* 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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@@ -44,7 +44,7 @@ We highly recommend that when going through the material that you use the | |
[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**) | ||
|
@@ -165,6 +165,6 @@ If you use parts of this course in your own work, please cite using: | |
author = {Nicki Skafte Detlefsen}, | ||
title = {Machine Learning Operations}, | ||
howpublished = {\url{https://github.com/SkafteNicki/dtu_mlops}}, | ||
year = {2022} | ||
year = {2023} | ||
} | ||
``` |