Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.
Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
