DS103 - Data Science with Deep Learning

From dataset understanding to result presentation and how to employ deep acyclic graph models in Predictive Analytics

Operational and logistics stuff

we meet each Thu 08h00-10h00 on Teams!
Graded project - real-life problem: 70% (minimum 30% for grading)
Research paper (important) presentation individual: 30%
Secondary project (optional extra-credit): 15%
2nd Research paper (optional research highlight pres.): 15%

Repo structure

root all the slides
MandatoryPapers all the available papers to chose from for mandatory research presentation
Scripts scripts/notebooks from each interactive lecture

Slack Channel

For Slack please click here: Link