Data Science Club

Data Science Club (DSC) is a platform, created in 2017 by Exponea in collaboration with Faculty of Informatics and Information Technology (FIIT) in Bratislava.

We organise regular meetups in the building of FIIT. DSC supports transfer of ideas between academic and industry research related to data science, machine learning and AI.

Place of meetups: [FIIT] building, map link below: https://www.google.sk/maps/place/Faculty+of+Informatics+and+Information+Technologies+of+Slovak+University+of+Technology/@48.1538693,17.0696816,17z/

Room: SW Studio

Time: 5pm-8pm

Facebook page with events: https://www.facebook.com/ExponeaSociety/

Past Events

Summer semester 2019

Comming soon!

Winter semester 2018

Date	Theme	Speakers
01 October 2018	Data-driven Politics & Julia language	Dominik Csiba, Renné Donner
08 October 2018	Data Exporation in R & Weather Forecasting	Martin Bago, Rudolf Jakša
22 October 2018	Databases & Apache Spark	Peter Krátky, Ondrej Brichta
05 November 2018	Automatic Models & ML in Gaming	Ján Dolinský, Róbert Magyar
12 November 2018	Biometrics & AB tests	Dominik Csiba, Viktor Gregor

Summer semester 2018

Date	Theme	Speakers
19 February 2018	Data integration	Jakub Motýl, Matúš Cimerman
05 March 2018	Data visualisation	Matej Novotný, Martin Bago
22 March 2018	Feature Engineering	Ondrej Brichta, Filip Vítek
09 April	Deep learning	Boris Vavrík, Michal Malý
23 April	Deploying AI solutions	Peter Carsky, Jakub Mačina

Winter semester 2017

Date	Theme	Speakers
16 October 2017	Introduction to Data Science	Jožo Kováč, Róbert Lačok
30 October 2017	Data Storage & Exploratory data analysis	Juraj Sottnik, Jakub Ševčech
13 November 2017	Game analytics & DWH and SQL Analytics	Ivan Trančík, Tomáš Synek, Matúš Nagy
27 November 2017	Feature Extraction & Natural Language Processing	Wanda Benesova, Jakub Ševčech, Jakub Mačina

Past lectures and presentations Winter semester 2018:

1. Data-driven Politics & Julia language

1. From zero to a data science project: corobiapolitici.sk
   by Dominik Csiba.
2. Julia - a language for fast numerical code as well as general programming
   by Renné Donner.

2. Data Exporation in R & Weather Forecasting

1. How can we quickly find out which kind of data we have
   by Martin Bago.
2. Case study: Weather Predictions Aggregation System
   by Rudolf Jakša.

3. Databases & Apache Spark

1. Keď už relačná databáza nestačí...
   by Peter Krátky.
2. Spracovanie dát z eventov pomocou Sparku
   by Ondrej Brichta.

4. Automatic Models & ML in Gaming

1. Automatic Model Building for Time-Series with Application in Energy Industry
   by Ján Dolinský.
2. Machine Learning in Action - How We Doubled Revenue On A Game With Over A Billion Players
   by Róbert Magyar.

5. Biometrics & AB tests

1. Fingerprint recognition: From standard methods to small area matchers
   by Dominik Csiba.
2. Faster and better A/B tests with Bayesian inference
   by Viktor Gregor.

Past lectures and presentations Summer semester 2018:

1. Data integration

1. A Big (Query) Frog in a Small Pond
   by Jakub Motyl.
2. Batch (Spark) and Streaming (Kafka) Data-Preprocessing
   by Matus Cimerman.

2. Data visualization

1. Principles of Big Data Analytics Visualization
   by Matej Novotny.
2. How to present campaign results to your boss
   by Martin Bago.

3. Feature engineering

1. Feature Engineering on Schemaless Data
   by Ondrej Brichta.
2. Feature Engineering - Your Trump Card in AI
   by Filip Vitek.

4. Deep learning

1. Building Deep Learning Assistant for Health-Care Specialist (presentation not available)
   by Boris Vavrik.
2. Robust Processing of Neural Network Output (presentation not available)
   by Michal Maly.

5. Deploying AI solutions

1. Quantile Regression and its Application in the Insurance Business (presentation not available)
   Peter Carsky.
2. Real-Time Personalized Recommendations Using Embeddings (presentation not available)
   by Jakub Macina.

Past lectures and presentations Winter semester 2017:

1. Introduction to Data Science

Presentations:

1. Welcome and Introduction to Data Science Club
   by Jozo Kovac.
2. Data Scientists - The New Rock Stars
   by Robert Lacok.

Workshop:
Full-stack introduction to Data Science application development
by Robert Lacok.

2. Data Storage & Exploratory data analysis

1. How to store data? It depends
   by Juraj Sottnik.
2. Exploratory data analysis
   by Jakub Sevcech.

3. Game analytics & DWH and SQL Analytics

Presentations:

1. Why Successful Games Need Analytics
   by Ivan Trančík.
2. DWH and SQL Analytics (presentation not available)
   by Tomas Synek and Matus Nagy.

Workshop:
SQL Analytics
by Matus Cimerman.

4. Feature Extraction & Natural Language Processing

1. Feature Extraction
   by Jakub Sevcech.
2. Introduction to Natural Language Processing
   by Jakub Macina.