DS105 - Data Science with Deep Learning 2022-2023

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

Welcome to 2022-2023 Data Science with Deep Learning This is the 5th revision of the graduate course in Data Science - a 11 lecture & hands-on labs journey in the hot field that combines programming, math, statistics, bio/physics in order to provide the today world with the most advanced information technologies: from recommender systems to chatbots, from predictive analytics to visual scene understanding and many others.

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
• mandatory_papers all the available papers to chose from for mandatory research presentation
• scripts scripts/notebooks from each interactive lecture
• resources important materials such as linear algebra, stats, etc
• data folder with toy and maybe-not-so-toy datasets