Department of Mathematics
Seminar on Machine Learning
A seminar on machine learning from a mathematical perspective, covering supervised learning and high-dimensional problems, and then a longer series on topological data analysis and its applications to natural language processing, deep learning and the human connectome.
Upcoming talks
This seminar is not meeting at the moment. The talks given so far are listed below. If it resumes, announcements will appear here.
If you would like to help restart it, or to give a talk, write to math@newuu.uz. The department’s general Department Seminar is running in the meantime.
2025 9 talks
Some applications of topological data analysis
Topology on Natural Language Processing
Geometric Deep Learning
Introduction to Topological Data Analysis V
Introduction to Topological Data Analysis IV
Introduction to Topological Data Analysis III
Introduction to Topological Data Analysis II
Introduction to Topological Data Analysis I
2024 2 talks
Overview of Machine Learning II
Tutorial class I
Overview of Machine Learning I
There would be a brief overview of machine learning from a mathematical perspective, mainly focusing on supervised learning and high dimensionality. The following books will be references for all talks: