Program 2018/2019

5.12.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

28.11.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

  • Peter Tibenský: Personalized product recommendation for users
  • Answering questions before submitting a preliminary version of my thesis (1st round)
    • Do I cite related works correctly?
    • How not to become a plagiarist?
    • Do I have an appropriate dataset?
    • … and many more.

21.11.2018, 1.31 (Job’s studio), 13:15 » Datalys Seminar

14.11.2018, -1.58 (U120), 12:45 » PeWe Seminar

  • Michal Grňo a Viktor Gregor (Pixel Federation): Games, Data and Marketing – on the way to automation

12.11.2018, -1.65, 16:00 » Data Science Club

  • Dominik Csiba (Innovatrics): Fingerprint recognition: From standard methods to small area matchers
  • Viktor Gregor (Pixel Federation): Faster and better A/B tests with Bayesian inference

7.11.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

5.11.2018, -1.65, 16:00 » Data Science Club

  • Ján Dolinský (Tangent Works): Automatic Model Building for Time-Series with Application in Energy Industry
  • Róbert Magyar (Cellense): Machine Learning in Action – How We Doubled Revenue On A Game With Over A Billion Players

24.10.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

22.10.2018, -1.65, 16:00 » Data Science Club

  • Peter Krátky (Instarea): When relational database is not enough…
  • Ondrej Brichta (Exponea): Events data processing by Spark

17.10.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

10.10.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

8.10.2018, -1.65, 16:00 » Data Science Club

  • Martin Bago (Instarea): Ako rýchlo zistiť, čo za dáta máme?
  • Jožo Kováč (Exponea): Let’s investigate the Experience

3.10.2018, -1.58, 12:45 » PeWe Seminar

1.10.2018, -1.65, 16:00 » Data Science Club

  • Dominik Csiba (Innovatrics): From zero to a data science project: corobiapolitici.sk
  • Renné Donner (contextflow): Julia – a language for fast numerical code as well as general programming

26.9.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar

  • Introduction of members and their research work and theses
  • Some additional information about our research and industry projects
  • Invitation to Data Science Club meetings
  • Overview of some useful resources
  • Jakub Ševcech: Machine learning at Coursera (Resources – MOOC)

19.9.2018, -1.58, 12:45 » PeWe Seminar