Archív meetupov

Prvý ročník MLMU: 2017

# Dátum Názov Prezentujúci Slidy Video
1 18.1.2017 BA: Budovanie NLP klasifikátorov Vlado Boža pdficon Slidy youtube-iconVideo
2 15.2.2017 BA: Extrakcia diskriminačných kľúčových slov Márius Šajgalík pdficon Slidy youtube-iconVideo
3 21.3.2017 BA: Automatické budovanie modelov pre časové rady s aplikáciu v energetike Ján Dolinský pdficon Slidy youtube-iconVideo
4 19.4.2017 BA: The role of optimization in Machine Learning Dominik Csiba pdficon Slidy youtube-iconVideo
5 17.5.2017 BA: Využitie machine learningu v tvárovej detekcii a verifikácii Marián Beszédeš pdficon Slidy youtube-iconVideo
5 28.6.2017 BA: Seznam.cz – Vyhľadávanie obrázkov z (nielen) českého internetu Lukáš Vrábel pdficon Slidy youtube-iconVideo
6 14.9.2017 BA: Machine learning in adversarial environments for malware detection Jakub Debski pdficon Slidy youtube-iconVideo
7 3.10.2017 KE: Klasifikácia rakovinových nádorov pomocou machine learningu Daniel Kuchta pdficon Slidy youtube-iconVideo
8 18.10.2017 BA: 3D Reconstruction in Wild Martin Bujnak pdficon Slidy youtube-iconVideo
9 15.11.2017 BA: Cesta vidiaca autá, ktoré po nej jazdia Adam Herout pdficon Slidy youtube-iconVideo
10 13.12.2017 BA: ML Engineer’s Look at Insurance Peter Zvirinsky pdficon Slidy youtube-iconVideo
11 24.1.2018 BA: Predictive Analytics using Neural Networks Rudradeb Mitra pdficon Slidy youtube-iconVideo
12 21.2.2018 BA: Speech Data Mining: Not Yet Ready for Retirement Honza Cernocky pdficon Slidy youtube-iconVideo
13 5.12.2017 KE: Rankingová Alenka ve fintechové říši divů Marek Modrý pdficon Slidy youtube-iconVideo


Druhý ročník MLMU: 2018

14 16.1.2018 KE: Rozpoznávanie šiat vo fashion industry – neurónky vs. geometrický prístup RNDr. Andrej Hosťovecký, PhD. pdficon Slidy youtube-iconVideo
15 20.2.2018 KE: Deep learning: čo, prečo, ako? Rudolf Jakša pdficon Slidy youtube-iconVideo
16 21.3.2018 BA: Implications of adversarial environment on machine learning Michal Nánási pdficon Slidy youtube-iconVideo
17 11.4.2018 Livestream: Building safe AI Andrew Trask pdficon Slidy youtube-iconVideo
18 18.4.2018 BA: Using object detection with CNTK to classify hotel images Karol Żak pdficon Slidy youtube-iconVideo coming soon
19 9.5.2018 KE: Postavte si svoje AI riešenie Peter Bednár pdficon Slidy youtube-iconVideo won’t be available
20 29.5.2018 BA: Can deep neural networks be used on embedded devices? Marián Beszédeš pdficon Slidy youtube-iconVideo coming soon
21 31.5.2018 KE: Practical TensorFlow – Wide and Deep Learning Workshop Daniel Kuchta pdficon Slidy youtube-iconVideo won’t be available
22 20.6.2018 BA: Machine Learning Challenges in DNA Sequencing Tomáš Vinař pdficon Slidy youtube-iconVideo coming soon
23 4.9.2018 KE: Save the Vineyard Hackathon – Preparatory Workshop Stanislav Hrivňák pdficon Notebook youtube-iconVideo
24 19.9.2018 BA: AI/ML for Scalable Recommender Systems Jakub Mačina pdficon Slidy youtube-iconVideo
25 17.10.2018 KE: Apache Mesos – ako sa budujú moderné clustre Zdenko Vrábel pdficon Slidy youtube-iconVideo
26 23.10.2018 BA: Towards Interfaces in Natural Language Zuzana Nevěřilová pdficon Slidy youtube-iconVideo
27 28.11.2018 BA: How AI helps robots to see and manipulate objects Michal Malý pdficon Slidy soon youtube-iconVideo
28 19.12.2018 KE: Introduction to H2O Driverless AI Jan Gamec pdficon Slidy youtube-iconVideo


Tretí ročník MLMU: 2019

29 29.1.2019 KE: AI a AR v robotike Jozef Orenič pdficon Slidy youtube-iconVideo
30 26.2.2019 KE: Automation of Data Science Tomas Horvath pdficon Slidy youtube-iconVideo won’t be available
31 30.5.2019 KE: Introduction to Deep Reinforcement Learning Slavo Maťašovský pdficon Slidy youtube-iconVideo
31 26.11.2019 KE: Introduction to Deep Reinforcement Learning II Slavo Maťašovský pdficon Slidy youtube-iconVideo


Štvrtý ročník MLMU: 2020

32 12. 2. 2020 KE: Text detection and recognition in natural scene images – a real challenge Peter Bugata, Dávid Hudák pdficon Slidy youtube-icon
33 26. 2. 2020 KE: Formal concept analysis (FCA) and its basic tools Ondrej Krídlo pdficon Slidy youtube-icon
34 31. 3. 2020 Online: Gestalt Principles in Data Visualisation Anastázie Sedláková pdficon Slidy youtube-icon YouTube
35 21. 4. 2020 Online: Optimization for ML: From Theory to Practice and Back Filip Hanzely pdficon Slidy youtube-icon YouTube
36 19. 5. 2020 Online: Understanding Machine Learning with Statistical Physics Lenka Zdeborová pdficon Slidy youtube-icon YouTube
37A 3. 6. 2020 Online: Developing and deploying a large-scale inventory optimization system Michał Kurcewicz pdficon TBP youtube-icon TBP
37B 3. 6. 2020 Online: Free text clustering in practice Tetyana Holets pdficon Slidy youtube-icon TBP
38 18. 6. 2020 Online: AI technology works differently from our brains Danko Nikolić pdficonTBP youtube-iconYouTube
39 30. 6. 2020 Online: Under the Hood of Smart Quarantine: Data and Memory Maps Petr Bednařík, Ondřej Tomas, Vojta Tůma pdficonTBP youtube-iconYouTube
40 23. 9. 2020 Online: Serve Your ML Models in AWS Using Python Václav Košař pdficonSlidy youtube-iconYouTube
41 21. 10. 2020 Online: Sentiment Analysis for Social Media Jan Rus pdficonSlidy youtube-iconYouTube
42 4. 11. 2020 Online: Reinforcement learning 1: Deep Q networks Michal Chovanec pdficonSlidy youtube-iconTBP