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Learn how quantum computers can identify patterns in data, reducing execution time and energy consumption, in this tutorial by the Applied Algebraic Topology Network.
Explore the space of persistence diagrams using optimal partial transport with Théo Lacombe and Vincent Divol. Offered by the Applied Algebraic Topology Network, this under 1-hour study delves into topological data analysis and its applications.
Explore the shape of activations in deep learning with Bei Wang's visual exploration system, TopoAct. Offered by Applied Algebraic Topology Network, it requires 1-2 hours of study.
Explore the distributional properties of minimum spanning acycles in an online setting with the Applied Algebraic Topology Network. Less than 1 hour workload.
Explore the role of geometry and topology in decision-making with this 1-2 hour material from the Applied Algebraic Topology Network. Learn to navigate conflicting advice using quantitative topology.
Explore the topological expressiveness of neural networks in this 1-2 hour material from Applied Algebraic Topology Network, delving into function representation and network architecture constraints.
Explore fiber bundle theory's application in probabilistic modeling with examples from evolutionary biology and biomedical applications in this less than 1-hour material from Applied Algebraic Topology Network.
Explore the construction of tessellated surfaces from finite groups in this less than 1-hour material by the Applied Algebraic Topology Network. Learn about dual quasiregular structures, group actions, and complex structures.
Explore the metric distortion of embedding persistence diagrams into RKHS with Applied Algebraic Topology Network. Ideal for those interested in Topological Data Analysis and Machine Learning.
Explore the measurement of curve similarity in various fields with the Applied Algebraic Topology Network. This under 1-hour material surveys several measures and examines their properties.
Explore methods for multiple hypothesis testing in persistent homology with Mikael Vejdemo-Johansson, offered by the Applied Algebraic Topology Network. Less than 1-hour workload.
Learn multi-parameter persistent homology and its applications in less than an hour with Heather Harrington via the Applied Algebraic Topology Network.
Explore the practical applications of real multiparameter persistent homology in data science with this 1-2 hour material from the Applied Algebraic Topology Network. No prior experience required.
Explore applications of topological data analysis in medicine and chemistry with the Applied Algebraic Topology Network. Learn to quantify lung structure in COPD and understand solubility of chemical compounds.
Explore the Persistent Homology Transform and its applications in this less than 1-hour material from the Applied Algebraic Topology Network. Dive into intrinsic metric spaces and metric graphs.
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