181.191 Machine Learning
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2010W, VU, 2.0h, 3.0EC
TUWEL

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung

Ziele der Lehrveranstaltung

Principles of Supervised Machine Learning, including algorithms, meta-algorithms, evaluation, ...

Inhalt der Lehrveranstaltung

Principles of Supervised and Unsupervised Machine Learning, including pre-processing and Data Preparation, as well as Evaluation of Learning Systems. Machine Learning models discussed may include e.g. Decision Tree Learning, Model Selection, Bayesian Networks, Support Vector Machines, Random Forests, Hidden Markov Models, as well as ensemble methods.

Didactical Concept:
-Lectures
-Exercises:
students will compare different machine algorithms for particular data sets, and have to implement a machine learning algorithm - Presentation of algorithms by students - Discussion of reports that summarize the comparison of machine learning algorithms

Assessment: is based on written exam, report, and implemented machine learning algorithm

Weitere Informationen

This course will be held completely in TUWEL - all lecture materials and news about the lecture will be made available there, and all questions regarding the course should be asked in the TUWEL forum *only*, not via TISS.

 

To get access to the TUWEL course, just apply to the group in TISS, and then follow the TUWEL link above

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Do.14:00 - 15:0007.10.2010 - 07.10.2010FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Vorbesprechung
Do.13:00 - 15:0014.10.2010 - 27.01.2011FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.09:30 - 12:0020.01.2011Seminarraum FAV EG C (Seminarraum Gödel) Machine Learning Presentations
Machine Learning - Einzeltermine
TagDatumZeitOrtBeschreibung
Do.07.10.201014:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Vorbesprechung
Do.14.10.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.21.10.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.28.10.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.04.11.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.18.11.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.02.12.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.09.12.201013:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures
Do.20.01.201109:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Machine Learning Presentations
Do.20.01.201113:00 - 15:00FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lectures

Leistungsnachweis

Schriftliche Prüfung

LVA-Anmeldung

Von Bis Abmeldung bis
09.02.2010 00:00 22.10.2010 00:00 28.10.2010 00:00

Gruppen-Anmeldung

GruppeAnmeldung VonBis
A01.09.2010 12:0028.10.2010 23:59

Curricula

Literatur

All materials (lecture slides and further readings) are made available in the TUWEL system only. You can subscribe to the TUWEL system after subscribing to the group in TISS.

Vorkenntnisse

Two chapters of Data Mining/Business Intelligence (188.429) courses will be posted in TUWEL. If you did not attend this course before, please read this material before the first class of Machine Learning course.

 

Self-Organising Systems (188.413) offers complementary topics in unsupervised data analysis. Information Retrieval (188.412) applies principles from Data Mining, Machine Learning and Self-Organising Systems for text and music retrieval and information extraction.

Begleitende Lehrveranstaltungen

Vertiefende Lehrveranstaltungen

Sprache

Englisch