4.12.2019, 1.31 (Jobs Studio), 12:45 » Datalys Seminar
- How to Finish Your Thesis? [Discussion]
27.11.2019, 1.31 (Jobs Studio), 12:45 » Datalys Seminar
- Michal Kabáč, Tadeáš Drahovský: Active Learning
20.11.2019, 1.31 (Jobs Studio), 12:45 » Datalys & NN Seminar
- Matúš Pikuliak: Text Representation Techniques
- How to represent text in your NLP projects
- Word embeddings and additional pre-trained models
13.11.2019, 1.31 (Jobs Studio), 12:45 » Datalys Seminar
- Matej Končál: Collaborative Recommendation
- Discussion about blogs, books, online courses and other resources interesting for data scientists
6.11.2019, 1.31 (Job’s studio), 12:45 » Datalys Seminar
- Miroslav Blšták: Introduction to NLP, tasks, tools and libraries
- NLP tasks
- NLP approaches
- NLP tools and libraries for English and Slovak language
30.10.2019, 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
23.10.2019, 1.31 (Jobs Studio), 12:45 » Datalys Seminar
21.10.2019, -1.65 (Aula Minor), 13:45 » Datalys Seminar
- Miroslav Blšták: Introduction to NLP in Slovak language
9.10.2019, -1.65 (Aula Minor), 12:45 » PeWe Seminar
- Jozef Tvarožek, Jakub Šimko, Ivan Srba: Methodological topics (part 1)
- How to define thesis goals and hypothesis
- How to search and organize literature
2.10.2019, 1.31 (Jobs Studio), 12:45 » Datalys Seminar
- Peter Gašpar: Introduction to recomender systems and recent trends in research and industry (RecSys 2019)
- Jakub Ševcech: Ten quick tips for effective dimensionality reduction
25.9.2019, -1.65 (Aula Minor), 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