Explores legal obligations and ethical considerations in data processing and AI, covering consumer credit, data protection, and automated decision-making.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
