Lecture
doc. RNDr. Lubomír Popelínský, Ph.D.
Lecture
doc. RNDr. Lubomír Popelínský, Ph.D.
Lecture
Info
Course
Term
Spring 2021

This course will be taught online via Zoom.

Outline

Evaluation
  • Intrasemestral exam 15 p.
  • Final exam 25 p.
  • Project 50 p. (20 state-of-the-art, 30 two methods, one in R, one in python)
  • Extra points (up to 5 p.) e.g. for an interesting/bizzare method and/or application

    Total <50 F, <60 E, <70 D, >=70 C, >=75 {B|A} after oral exam
    Zápočet:     min 40 points, a project is obligatory

Literature

Study materials explanation
Open
Chapter contains:
1
Study text
L1 Intro. Project. Overview of machine learning.
Open
Chapter contains:
1
Video
2
Web
Teacher recommends to study from 2/3/2021 to 8/3/2021.
L2 Association rule mining. Multirelational learning (ILP)
Open
Chapter contains:
2
PDF
2
Study Materials
1
Video
1
Web
Teacher recommends to study from 9/3/2021 to 16/3/2021.
L3 ILP (cont.). Tree Learning.
Open
Chapter contains:
2
PDF
1
Study Materials
1
Video
Teacher recommends to study from 16/3/2021 to 22/3/2021.
L4 Tree learning (cont.). On Kolmogorov complexity and tree learning. Ensembles
Open
Chapter contains:
4
PDF
2
Study Materials
1
Video
Teacher recommends to study from 23/3/2021 to 29/3/2021.
L5 Experiment preparation and evaluation
Open
Chapter contains:
3
PDF
3
Study Materials
1
Video
Teacher recommends to study from 30/3/2021 to 5/4/2021.
Intrasemestral exam
Open
Chapter contains:
2
Image
Teacher recommends to study from 6/4/2021 to 12/4/2021.
L 6 Learning from imbalanced data
Open
Chapter contains:
3
PDF
1
Study Materials
1
Video
Teacher recommends to study from 13/4/2021 to 19/4/2021.
L7 Anomaly analysis. Class-based outliers
Open
Chapter contains:
3
PDF
1
Study Materials
1
Video
Teacher recommends to study from 20/4/2021 to 26/4/2021.
L8 PRESENTATIONS ARE STARTING. Outlier explanaiton. Dataset hardness.
Open
Chapter contains:
3
PDF
1
Study Materials
1
Video
Teacher recommends to study from 27/4/2021 to 3/5/2021.
L9 Presentations (2). Instance hardness. Automated machine learning.
Open
Chapter contains:
4
PDF
1
Folder
1
Study Materials
1
Video
1
Web
Teacher recommends to study from 4/5/2021 to 10/5/2021.
L10 Presentations (3). AutoML. Active and semi-supervised learning. Mining in graphs (intro.)
Open
Chapter contains:
4
PDF
1
Study Materials
1
Video
Teacher recommends to study from 11/5/2021 to 17/5/2021.
Mining in graphs (cont.), sequencies and time series
Open
Chapter contains:
4
PDF
2
Study Materials
1
Video
1
Web
Teacher recommends to study from 18/5/2021 to 24/5/2021.
Mining time series. Notes on theory of ML
Open
Chapter contains:
3
PDF
Teacher recommends to study from 25/5/2021 to 31/5/2021.
Literature
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