👷 Seminar on Machine Learning, Information Retrieval, and Scientific Visualization
doc. RNDr. Petr Sojka, Ph.D.
👷 Seminar on Machine Learning, Information Retrieval, and Scientific Visualization

News

  • From this term on, the course is a regular research seminar in the stated researched areas. It could be enrolled each term. It is mandatory that enrolled student has a presentation on a research topic during the term. Topics of presentations are those focused primarily by the course teacher(s)  and the  Math Information Retrieval@FI group: machine learning, information retrieval, representation learning, and scientific visualization.
  • There is a discussion group with official course information and a communication channel, in addition to the course outline below: watch both frequently!

Topics and Course Outline

Week 1

Join us at A502 the Faculty of Informatics MU on September 15th at 10 AM (CET).

  1. 10:00 Class introduction, warm-up round-up discussion (expectation, topics/expertise/background, suggested presentations, and readings). Bring your research presentation offers and ideas to present, read, study, and discuss!
  2. 10:20 Principles of research communication and scientific work, Reading a scientific paper. Put readers in your place!
    Specifics of CS research and doctoral studies and their evaluation at FI MU: CS conference rankings
  3. 10:30 Importance of "selling the ideas and work", picking the right topics and questions, researching "big issues", picking the right publication forums (in CS and NLP), and h-index as a measure of impact. The danger of Tyranny of metrics.
  4. 10:40 Motivating video: DEK's advice to young students.
  5. 10:45 Schedule of talks this term, topics to cover.
  6. 11:10 Varia, socializing (team builder wanted!), lunch.


Week 2  Denča Šrámková [+ Jakub Ryšavý konzultace]

Join us in room A502 at FI MU on September 22 at 10 AM (CET).

Kapitola obsahuje:
2
Obrázek
1
Studijní text
Učitel doporučuje studovat od 17. 9. 2022 do 22. 9. 2022.

Week 3 – Marek Kadlčík

Join us in room A502 at FI MU on September 30 at 10 AM (CET).

Kapitola obsahuje:
1
Obrázek
1
PDF
1
Video
1
Studijní text
3
Web
Učitel doporučuje studovat do 29. 9. 2022.

Week 4 – Mikuláš Bankovič

Join us in room A502 at FI MU on October 7 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
3
Obrázek
1
PDF
1
Video
1
Studijní text
1
Web
Učitel doporučuje studovat od 29. 9. 2022 do 7. 10. 2022.

Week 5 – Vlastimil Martinek

Join us in room A502 at FI MU on October 14 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
Obrázek
1
PDF
1
Video
1
Studijní text
Učitel doporučuje studovat od 7. 10. 2022 do 15. 10. 2022.

Week 6 – Dávid Meluš

Join us in room A502 at FI MU on October 20 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
Obrázek
1
PDF
1
Video
1
Studijní text
Učitel doporučuje studovat od 13. 10. 2022 do 21. 10. 2022.

Week 7 – Time to rest

Week 8 – Martin Geletka

Join us in room A502 at FI MU on November 3 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
PDF
1
Video
1
Studijní text
Učitel doporučuje studovat od 27. 10. 2022 do 3. 11. 2022.

Week 9 – Šárka Ščavnická 

Join us in room A502 at FI MU on November 10 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
PDF
1
Video
1
Studijní text
Učitel doporučuje studovat od 1. 11. 2022 do 10. 11. 2022.

Week 10 – State Holiday (17.11.)


Week 11 – Jakub Ryšavý

Join us in room C522 at FI MU on November 24 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
Obrázek
1
PDF
1
Studijní text
2
Web
Učitel doporučuje studovat od 17. 11. 2022 do 24. 11. 2022.

Week 12 – David Čechák

Join us in room A502 at FI MU on December 1 at 10 AM (CET) [or on Zoom.]

Kapitola obsahuje:
1
PDF
1
Video
1
Studijní text
Učitel doporučuje studovat od 24. 11. 2022 do 2. 12. 2022.

Week 13

No teaching.

Week 14 – Christmas party

Join us in room A502 at FI MU on December 15 at 10 AM (CET) (no Zoom, sorry).

Kapitola obsahuje:
1
Studijní text
Učitel doporučuje studovat od 7. 12. 2022 do 16. 12. 2022.

Tips for readings, discussions, and presentation preparations:

  1. Top2Vec towardsdatascience.com/top2vec-new-way-of-topic-modelling 
  2. How to speak by Patrick Winston (youtube video)

Žákovi, který se hrozil chyb, Mistr řekl: "Ti, kdo nedělají chyby, chybují nejvíc ze všech – nepokoušejí se o nic nového." Anthony de Mello: O cestě

To a student who was in danger, the Master said: "Those who do not make mistakes most of all – they do not try anything new." Anthony de Mello

Předchozí