DS102 - 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

• each Thu 08h00-10h00 EC 002

• 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
• StudentScripts scripts from each interactive lecture