The Applied Machine Learning Days – AI & Topology


Event details

Date and time 10.05.2021 18:0022:00  
Speaker Kathryn Hess Bellwald
Bryn Keller
Elizabeth Munch
Marco Armenta
Nicolas Berkouk
Rickard Brüel-Gabrielsson
Shusen Liu
Category Conferences - Seminars

The Applied Machine Learning Days are one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry and academia.
Each month, a domain-specific track will feature top-level speakers, discussions and keynotes. Some tracks will be preceded or followed by a workshop day focussed on hand-on sessions, coding classes and tutorials.

On May 10th we'll be hosting AI & Topology.
Topological Data Analysis (TDA) is a rapidly growing field with tremendous potential for improving machine learning pipelines, unboxing the most intricate deep networks, and creating new geometric features from data.
Since the knowledge barrier that protects TDA might scare some data scientists, the purpose of this track is not only to showcase TDA as a complementary tool to machine learning, but also to lower this barrier and make TDA more intuitive and accessible.
The speakers of this track are all renowned leaders in the topics they present; dynamical system analysis using TDA, analysis of deep networks with TDA, feature engineering via TDA, data visualisation and dimensionality reduction are the main topics discussed in this track.


Practical information

  • Informed public
  • Registration required


Artificial Intelligence Machine Learning Technology Topology

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