Deploying text RNNs in bank – Vlado Boža

May 10, 2018 · Brno-střed, Czechia

One part of the anti-money laundering process is a background check of the client to determine whether the client has been engaged in any risky or illegal activity. This was done mostly by searching manually news databases and reading returned articles. Vlado will present how Merlon Intelligence helps automate this process by implementing a solution using recurrent neural networks and also how it has coped with limited availability of training data.

Vlado Boža is a Lead ML engineer at CEAI where he focuses on hard problems requiring interesting solutions, especially in the area of NLP. He is a co-founder of Black Swan Rational, a boutique data science consultancy where he worked on projects like computer vision for detecting clouds in the sky, analysis of electrical smart-meter data or an analysis of M&A data. Vlado holds a PhD in Bioinformatics focusing on processing DNA sequencing data. He is a big fan of clever heuristics, probabilistic algorithms or any interesting efficient algorithms.

Language: English

- Talk
- Discussion
- Networking (ImpactHub)

Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava.

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