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