MONDAY (2nd October)
9:00 - 9:20 - Opening ceremony*
9:20 - 9:40 - Dankó Zoltán (OTP Bank): Innovation and development in the era of the Digital age*
9:40 - 10:00 - Project task handout.*
10:00 - 11:45 - Asztalos Áron & Lotfi Majid (OTP Bank): Average income prediction by location using Machine Learning in Python*
14:30 - 18:00 - Horváth András: Demonstations and presentations supporting the workshop project task*
- What is machine learning
- Classification and regression problems
- Step to solve practical problems: Data collection, Filtering and analysis, Model building, Model validation, Cross- validation
- Examples of machine learning models for regression : Gradient tree boosting, Neural Networks etc...
TUESDAY (3rd October)
PCF (People Come First) - Data Mining day
9:00 - 11:00 - Balázs Hodossy (PCF): Data science: The place of data science in Big Data, data analization methods, prediction basics, SQL, a little Python
- A practice based approach to the foundations of BigData
- History of datascience
- Foundations of statistics and probability (among others: useful probabilistic ideas, possible errors in model construction)
- Introduction to the tools used in BigData analysis (In Python 3.6 and SQL; No prior knowledge of SQL is required and minimal previous Python experience is enough.)
- Python 3.6 is required
11:30 - 13:30 - Thinking together: simple exercises helping to understand the practical and theoretical aspects of the methodology of data processing
- Several exercises to be solved in groups of 5-6 people and then a short presentation of the ideas found.
- A 3.5 hour-long coding session
- Several different exercises in BigData analysis (textual or graphic data)
- Exercises to be solved in groups
- The lecturer will be at Your disposal for questions
- Python 3.6 is required
WEDNESDAY (4th October)
10:15 - 11:00: Nagy András (OTP Bank): Neural networks and gpu, how to work with learning algorithms in a DevOps approach
11:00 - 11:45: I. Horváth István (Eutecus HU Kft.): Video and Data Analytics for Smart City Applications
II. Botos Csaba (Eutecus HU Kft.): Generative Deep Learning Models
12:00 - 13:00: Judit Villányi (Starschema): Data visualization with Tableau/ How to create nice decision supporting visualization fast -
Hero video
14:00 - 15:00 - Zoltán Kurai (Black Swan): Social media text analization
- Text analization/ text mining
- Social media as BigData
- One application: Show me your tweets and I will tell you where you live!
THURSDAY (5th October)
9:00 - ∞ (as you wish) - Hackathon: Working on the workshop project task.*
FRIDAY (6th October)
11:00 - 13:00 - Presentation of the projects.*
13:00 - 14:00 - Lunch at Benczur House
14:00 - 15:00 - Closing ceremony and awards.