VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

170-0005-00L 5 Credits

Data Analysis and Machine Learning

Lecturers & Examiners: Prof. Dr. Fadoua Balabdaoui, Prof. Dr. Giorgia Ramponi
This course unit is part of a joint ETH Master's program with Ashesi University Ghana. Enrollment takes place at Ashesi University.
VVZ CR n/a

Last Updated: 2026-06-03 00:14:39

Abstract

The course will cover: Random experiments, sample spaces, events| Probability measures| Conditional probability, Bayes rule.| Independence| Random variables (discrete & continuous) and their distributionfunction, Well-known distributions| Joint distributions| Expectation and variance| Covariance and correlation| Conditional expectation,Modes of convergence.

Objective

The course will introduce the foundations of learning and making predictions from data. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project.

General Information

Language
English
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Data Analysis and Machine Learning No time listed 150 h semesterly

Offered In