2.5.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar – Semester Finale
- Matej Končál and Andrej Zaťko: Introduction to Multi-Armed Bandits
- Answering questions about the thesis defense.
- How to prepare for the thesis defense?
- What should the presentation contain?
- How does the defense look like?
- … and many more.
24.4.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Answering questions before submitting a final version of my thesis
- How to finalize thesis? What to put into electronic appendix?
- What steps should be taken after submitting thesis?
- … and many more.
10.4.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Florián Chmelár: Hybrid Recommendation
- Marek Wallner: User Feedback Analysis
- Elena Štefancová: Time-aware Recommendation
3.4.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Filip Dresto: Characterizing Fake News and Its Spread by Means of Data Analysis
- Peter Gašpar: Useful tips for working in Jupyter Notebooks
27.3.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Šimon Zaťko: Question Popularity Prediction in CQA Systems
- Discussion: The Most Typical Problems in Data Science and Machine Learning
20.3.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Branislav Pecher: Ontozur Experiment Proposal
- Jakub Janeček: Ontozur Experiment Proposal
- Peter Babinec: Ontozur Experiment Proposal
13.3.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Miroslav Rác: User Preference Dynamics – Concept Drift
6.3.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Peter Gašpar: Recommender Systems in Practice (Part I)
27.2.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Michal Kompan: Interpreting user inaction in recommender systems (reading)
20.2.2019, 1.31 (Job’s studio), 13:45 » Datalys Seminar
- Ivan Srba: Methodological topics – Data-science specifics (part 2)
- How to do feature engineering?
- How to train and evaluate model?
- How to present the results?
- What are the typical ML problems?
13.2.2019, -1.65, 13:45 » PeWe Seminar
- Ivan Srba, Jakub Šimko: Methodological topics (part 2)
- How to write good a method/system proposal
- How to evaluate the contribution of project
- How to write a good abstract, conclusion and other parts of theses
5.12.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar
- Marek Wallner: User Feedback Analyses
- Elena Štefancová: Recommendation Taking the Time Aspects of Users and Items into Account
- Answering questions before submitting a preliminary version of my thesis (2nd round)
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
- Matúš Pikuliak: What about deep NLP?
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
- Branislav Pecher and Jakub Janeček: Interpretability of machine learning models created by clustering algorithms
- Martin Tonhauzer and Tomáš Mizera: Linking and cleaning of open government data
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
- Peter Mačinec: Fake news detection
- Discussion on privacy, GDPR and data science
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
- Peter Gašpar: Recommender Systems and Their Real-world Utilization
10.10.2018, 1.31 (Job’s studio), 12:45 » Datalys Seminar
- Ivan Srba: Methodological topics – Data-science specifics (part 1)
- How to define data-science task
- How to select/create appropriate dataset
- How to describe your dataset
- How to preprocess your dataset
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
- Jakub Šimko, Ivan Srba: Methodological topics (part 1)
- How to define thesis goals and hypothesis
- How to search and organize literature
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
- Mária Bieliková: Autumn Semester Kick Off
- Introduction to PeWe specialized research groups
- Jakub Šimko et al.: User eXperience and Interaction
- Ivan Srba et al.: Datalys
- Peter Lacko et al.: Neural Networks