Name: Joint online meetup with WiMLDS Paris
Start: 2021-02-03T19:30:00+02:00
End: 2021-02-03T21:30:00+02:00

We are excited to announce a special online meetup: a joint meetup between the Limassol & Paris WiMLDS chapters!

All genders may attend our meetups.

A Zoom link will be provided prior to the meetup.

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Agenda

19:30 – Introduction by the Limassol & Paris WiMLDS team

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19:40 – “Bayesian Probabilistic Modelling for Social Interaction Data” by Xenia Miscouridou, Research Associate, Department of Mathematics, Imperial College London

Abstract : Bayesian statistics and machine learning have shown great advances over the last few years providing us with powerful approaches to model data generating mechanisms and quantify the uncertainty therein. Probabilistic models with bayesian nonparametric assumptions have been used in many applications such as density estimation, clustering, latent feature models and survival analysis. In this talk I will focus on probabilistic modelling for interactions between pairs of individuals in social networks. The suggested class of models is based on point processes and focuses upon the property of reciprocation,meaning that interactions arise as responses to recent opposite interactions.

Biography : Xenia is a Research Associate at Imperial College London in the Statistics Section of the Department of Mathematics. She has worked for AIG as a Machine Learning Scientist developing AI models for insurance and investment. She holds a PhD in Statistical Machine Learning from the Department of Statistics at the University of Oxford supervised by Francois Caron and Yee Whye Teh. During her PhD, she has been a Research Visitor at the Alan Turing Institute in London, at the Courant Institute at NYU and a Data Science intern at Google Zurich. She previously completed the Part III of the Mathematical Tripos at the University of Cambridge and a BSc in Mathematics from Imperial College London.

20:10 – “Named Entity Recognition (NER) from a business point of view : coupling a rule-based approach with Machine Learning algorithms” by Sotiria Bampatzani, NLP Data Engineer @ QWAM Content Intelligence

Abstract: Data annotation is a time-consuming and often tedious task, but essential in order to build efficient and smart algorithms. This talk focuses on how Named Entity Recognition, traditionally based on annotation rules and ontologies, can be coupled with Machine Learning in the business world, where resources are generally limited and costly.

20:40 - Quick interactive session

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During the event, you can share content using #WiMLDSParis, @WiMLDS_Paris & @WiMLDS_Limassol

After the meet-up, all the slides will be available on the Paris WiMLDS Medium page : https://medium.com/@WiMLDS_Paris

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Code of conduct

WiMLDS meetups aim to inspire, educate, regardless of gender, and support women and gender minorities in the field. All genders may attend our meetup.

We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.

Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.

Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct

Georgina Tryfou

Christina Orphanidou (CY)

Limassol Women in Machine Learning & Data Science

Technology

Artificial Intelligence

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Gender Equality

Data Science

Deep Learning

WiMLDS