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447-6245-00L 1 Credits MSC , WBZ D-MATH
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Data Mining

Data-Mining

Lecturers & Examiners: Prof. em. Dr. Martin Mächler
Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to . The Registrar's Office will then register you for the course.
VVZ CR n/a

Last Updated: 2026-02-05 15:34:48

Abstract

Block course only on prediction problems, aka "supervised learning".Part 1, Classification: logistic regression, linear/quadratic discriminant analysis, Bayes classifier; additive and tree models; further flexible ("nonparametric") methods.Part 2, Flexible Prediction: additive models, MARS, Y-Transformation models (ACE,AVAS); Projection Pursuit Regression (PPR), neural nets.

Content

"Data Mining" is a large field from which in this block course, we only treat so called prediction problems, aka "supervised learning". Part 1, Classification, recalls logistic regression and linear / quadratic discriminant analysis (LDA/QDA) and extends these (in the framework of 'Bayes classifier") to (generalized) additive (GAM) and tree models (CART), and further mentions other flexible ("nonparametric") methods. Part 2, Flexible Prediction (of continuous or "class" response/target) contains additive models, MARS, Y-Transformation models (ACE, AVAS); Projection Pursuit Regression (PPR), neural nets.

Resources

Lecture Notes

The block course is based on (German language) lecture notes.

Learning Materials (Links)

General Information

Language
German
Levels
MSC , WBZ
Frequency
Every two years

Examination

Type
ungraded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Data-Mining
Blockkurs. Weitere Informationen unter
  • Mon 14:15-16:00 (HG E 1.2)
  • Mon 16:15-18:00 (HG E 5)
  • 02.11 Date 14:15-16:00 (HG E 1.2)
  • 02.11 Date 16:15-18:00 (HG E 5)
14 h semesterly

Offered In