Save the date for 1. Lecture Series (Level: Intermediate to Advanced)

After our last Meetups - which were focused more on giving an introduction to Machine Learning for the beginner level - we now want to start a new series wich is more focused on the more advanced members of our community.

With this Meetup we are starting a lecture series with talks about AI / Machine Learning in the real world.

The talks in this Meetup will be about:

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Practical Authorship Analysis

The talk deals with the discipline of authorship verifiction, which concerns itself with the question if two documents were written by the same person.
Among others, it will be explained what "writing style" represents and how its classification differs from classical NLP tasks. In addition, a simple but quite effective authorship verifiction method will be presented.

About Oren Halvani:
Oren Halvani works as a research associate for "The Fraunhofer Institute for Secure Information Technology SIT" in the media security & IT forensics department. His main research activities focus on Digital Text Forensics and Natural Language Watermarking.
In his doctoral thesis, he is seeking to answer the question if authorship verification can be used in realistic scenarios.

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Face recognition and its applications

The talk deals with the topic of face recognition and it's practical usage. It answer the following question:
• How are faces detected, processed and identified?
• What are the practical usage scenarios and which algorithms can be used?
• How can we apply concepts of digital multimedia forensics in face recognition?

About Christos Votskos:
Christos Votskos works at "Devoteam GmbH" as Principal Consultant specialized in the topics AI and Big Data in the Data as a Service (DaaS) department.
He supports customers building their data lake solutions and enhancing their business with AI. His main interest is Computer Vision and bridging the gap between research and production.

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Reinforcement Learning for Trading

In this talk we take a look at how latest advancements in Machine Learning can be be combined with the world of finance.
We will go throught the basic steps and concepts to create a self-learning agent that will be capable of trading financial markets using reinforcement learning.

About Christian Beckmann:
Christian Beckmann works as a Data Scientist in the Innovation Hub of Deutsche Telekom AG. He is also Dean of Darmstadt School of AI and Head Dean for School of AI Germany.

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Location, food and drinks sponsored by Devoteam GmbH (https://de.devoteam.com/).