Intelligent data analysis

Alapadatok

Course coordinator

A munkatárs fényképe
associate professor
Szoba: E423
Tel.:
+36 1 463-4394
Email: antal (*) mit * bme * hu

Lecturers

A munkatárs fényképe
associate professor
Szoba: E423
Tel.:
+36 1 463-4394
Email: antal (*) mit * bme * hu
A munkatárs fényképe
professor
Szoba: IB420
Tel.:
+36 1 463-3595
Email: pataric (*) mit * bme * hu

Announcements

Next lecture and consultation

Antal Péter 2019-11-23 21:52 Frissítve: 2019-11-23 21:52

The next lecture on Tuesday, 26th of November is cancelled and a consultation about homeworks is offered on Wednesday, 27th of November from 9am till 12am.

Syndicate content

Introduction

The course provides a systematic overview both about intelligent methods used throughout the data analysis process and about intelligent, complex machine learning schemes used in modern data analysis. Unifying themes of this dual approach, are the Bayesian decision theoretic framework, the network and systems-based approaches, data and knowledge fusion, the use of ontologies and semantic technologies and active, online (reinforcement) learning, which integrate various phases and aspects of data analysis. The course also presents and discusses real-world applications, from the field of biomedicine, pharmaceutical research and system diagnostics.

© 2010-2019 BME MIT