List courses
Lviv-Prague Data Science Summer School lasts two weeks. The first week (July 18-23) includes applied courses in various domains (CV, NLP, RecSys, etc.). During the second week (July 25-30), the students work on group projects provided by the school lecturers and companies. School participants will have the opportunity to enroll in 4 ECTS credits after successfully completing the project work. Each course is planned to have 4 classes of 80-90 minutes each, for convenience, we split them into two days 2 classes each.
List of courses:
- How to tell a Stairway to heaven from a Highway to hell: working with music as a data scientist
- 3D Reconstruction with Differentiable Rendering
- Introduction to Bayesian modeling with (py)stan
- Conformal learning – a prediction with accuracy guarantees (theory & practice)
- ML for Financial Data Structures
- NLP intro
- Deep Reinforcement Learning for Active High-Frequency Trading
- NLP and Beyond
- How to navigate through the ML research information flood
- Making Sense of Graphs with Machine Learning
- ML for Remote Sensing Data Course by Quantum
- Modeling customer behavior and estimating causalities