Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Covers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.
Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.
