Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores constructing a probability model, random sampling, variance calculation, and allocation optimization in experiments.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
