The agenda for the meetup is:
19.00 – 19.45 Introduction to Bitcoin and Blockchain — Thomas Sermpinis
19.45 – 20.00 Break
20.00 – 20.15 Introduction to Machine Learning — Nikolaos Passalis
20.15 – 21.15 Discussion of Bitcoin price prediction using Deep Learning Models — Avraam Tsantekidis
21.15 – 21.30 Discussion / networking / end
Please note that presentations will be in Greek.
– Introduction to Bitcoin and Blockchain
Bitcoin and especially blockchain technologies get more and more important each day, breaking the barrier of the cryptocurrency with the introduction of many new practical applications. In this presentation we will discuss the fundamentals of blockchain technologies, using Bitcoin as our benchmark, and covering topics like transactions, nodes, consensus and other important aspects of these technologies.
– Introduction to Machine Learning
Nikolaos Passalis will present and refresh the most important Machine Learning and Deep Learning concepts, along with some applications using the well-known Keras library, in less than 15 minutes. Some familiarity with Python is all you need!
– Discussion of Bitcoin price prediction using Deep Learning Models
Lately Bitcoin has been receiving more and more attention, both as a technological achievement capable of allowing true ownership of ones’ wealth, but also as a risky investment opportunity which has attracted a significant amount of capital. There are many faucets of Bitcoin and Blockchain technology upon which Machine Learning can be applied and yield practical results. In this presentation, the topic of Bitcoin price prediction using Deep Learning models, such Long-Short Term Memory (LSTM) networks, will be discussed. Several code examples using Python and Keras, backed by Tensorflow, will be presented, walking you through all the necessary steps to understand the basics of building a Machine Learning model and testing it on real financial data.
Short Biographies of presenters:
– Thomas Sermpinis is a security and blockchain engineer with a Masters Degree in Informatics and Management. He has worked as an instructor in the field of cyber security, covering a wide variety of topics. Also, he is deeply involved in the cyber security community, with a strong social media presence (security blog and popular YouTube channel). For the last year he is dedicated to blockchain technology and currently works as a blockchain research engineer in Aristotle University.
– Nikolaos Passalis is a Ph.D. candidate and researcher in the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2013 and his M.Sc. in Information Systems in 2015 from Aristotle University of Thessaloniki, Greece. His research interests include deep learning, computational intelligence and information retrieval. His doctoral studies are supported by the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI).
– Avraam Tsantekidis is a Ph.D. candidate in the Artificial Intelligence & Information Analysis Laboratory of the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2016 from the Aristotle University of Thessaloniki. His research interests include Deep Learning, Time Series and Financial Markets. During the first year of his Ph.D. he was employed by an Investment Fund to research and develop Deep Learning to support its financial activities.
The environment is casual and there will be plenty of opportunities to learn and more importantly get to know each other. After the event everyone is welcome to one of the nearby cafeterias to get to know each other.
Hope to see you there!