We are very excited to announce the next MeetUp, that will be held on 31.01.2019, Thursday, from 18:00 to 20:00 at the Amphitheater of TMF (Faculty of Technology and Metallurgy).
The first talk will be about Topological Data Analysis, given by Marko Karbevski.
Topology is the part of mathematics that is primarily concerned with shapes. Topological Data Analysis is an emerging field within data science that helps you find topological and geometric features within your data that could give meaningful insight (through, say, clustering or visualisations), and provide features for your classification algorithm or reduce the dimensionality of your data.
The presentation will present some of the techniques in this field and their application to a case study. The following papers are suggested for more information:
• https://arxiv.org/pdf/1609.08227.pdf
• https://arxiv.org/pdf/1710.04019.pdf
Bio: Marko Karbevski is a Data Scientist at Sorsix. He graduated in mathematics before moving to the Data Science field. His modest experience includes predictions concerning social media (via locally linear modelization), transportation (using NNs) as well as data analysis for clients. Also, he is an intern at MANU where he explores the world of topological data analysis.