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441-1000-00L 4 Credits WBZ D-MATH
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Introduction to Machine Learning in Finance and Insurance

Lecturers & Examiners: Prof. Dr. Josef Teichmann, Prof. Dr. Patrick Cheridito, Dr. Bastian Jörg Bergmann, Dr. Andrea Ferrario
VVZ CR n/a

Last Updated: 2026-06-01 11:33:08

Abstract

Provides you with a comprehensive introduction to the fundamentals of machine learning, including key concepts, algorithms, and practical applications.

Objective

You will gain a solid foundation in machine learning and develop the skills to build and evaluate machine learning models for various tasks in the following blocks and modules for the CAS ETH in Machine Learning in Finance and Insurance

Content

Introduction to Machine Learning with cases.

General Information

Language
English
Levels
WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Introduction to Machine Learning in Finance and Insurance
  • 04.04 Date 09:15-18:00 (HG D 16.2)
  • 09.05 Date 09:15-16:00 (HG D 1.2)
  • 23.05 Date 09:15-18:00 (HG D 16.2)
3 h weekly

Offered In