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