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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