Covers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.
Introduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Introduces linear regression, generalized linear models, and mixed-effect models for regression analysis.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
