Machine Learning for Financial Data

Machine Learning for Financial Data

Budapest, Hungary - SUMMER 2019 APPLICATION PERIOD CLOSED

July 21 - August 3, 2019


Deep learning has achieved significant breakthroughs in diverse domains like speech recognition, computer vision, or the game of Go. It is quickly turning into a core technology in more and more innovative FinTech companies.

A section of the summer school will introduce students to deep neural networks. It will cover foundational concepts and practical knowledge in hands-on sessions: students will learn to build their own deep learning models using state-of-the-art tools such as TensorFlow and Keras. The Summer School will introduce models like GRUs and LSTMs that model sequence data like the time series frequently encountered in finance. Since the primary focus pf the programme is the expertise in innovation and entrepreneurship, students will work on business assignments for innovative use of machine learning in cooperation with companies and start-ups from the Budapest region. 

The social event will be held at Balaton lake, which is 100km from Budapest and is the largest fresh water lake in Central Europe. It is one of the region's foremost tourist destinations, for relaxing, swimming, fishing and other sports. We propose to spend the Summer School weekend at the lake and offer the participants an introductory sailing experience and a tasting opportunity of Hungarian specialities.

The Summer School at Budapest is organized just before the famous Sziget Festival, enabling the participants to prolong their stay in Hungary and take part in the Festival starting on August 7, 2019. The week-long festival has grown from a relatively low-profile student event in 1993 to become one of the prominent European rock festivals.


Summer 2020 application period!
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What happened at this location in the previous year

  • 39 participants representing 21 countries worked on cases provided by Telekom, K&H, OTP eBiz and Molybdo targeting topics like database anomalies, service mobile subscribers, SME finance assistants, claim valuations and digital nomads.
  • Speakers from academia and industry provided participants a deep understanding of machine learning, data mining and digital finance.
  • Participants also got to visit MNB, the Central Bank of Hungary and MKB FIntech Lab, Hungary’s Leading Fintech Incubator

Summer School Hungary

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