Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores coordination and scheduling in operating systems, covering lost wakeup problems, scheduling algorithms, and coordination primitives like sleep and wakeup.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
