Summary of topics offered - Department of Informatics (FBE)


Basic information

Type of work:
Dissertation thesis
Topic:
Automated machine learning
State of topic:
approved (prof. Ing. Cyril Klimeš, CSc. - head of department)
Thesis supervisor:
Faculty:
Faculty of Business and Economics
Supervising department:
Department of Informatics - FBE
Max. no. of students:
3
Proposed by:
doc. Ing. František Dařena, Ph.D.
Summary: Automated machine learning (AutoML) is the process of automation of individual steps of a project when machine learning is used to solve a problem. The automation might be related to data preparation, feature engineering, model selection, hyperparameter optimization, model evaluation, and others. The dissertation will focus on the application of AutoML in a selected field (preferably in natural language processing). Historical data about the performance of different algorithms on real-world problems can be considered.



Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Restrictions by study
The table shows restrictions by study to which the student has to be enrolled in order to sign up for the given topic.

Programme
D-SIA System Engineering and Informatics