Embedding for Data Analysis : Multidimensional Scaling and Manifold Learning - Part 1 | Vidéo

Embedding for Data Analysis : Multidimensional Scaling and Manifold Learning - Part 1

Appears in collection : 2022 - T3 - Geometry and statistics in data sciences

The goal of this Thematic quarter is to highlight the rich interactions between Statistics, Probability theory, Geometry and Topology in the field of Mathematics of AI. It will allow young researchers, Masters students and PhD students to explore cross-disciplinary topics.

Information about the video

Date of publication 05/04/2024
Institution IHP
Licence CC BY-NC-ND
Language English
Format MP4

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CHAIR «PAYS DU SUD» / CHAIRE «PAYS DU SUD»

Not Only Scalar Curvature Seminar

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Representation theory and analysis on homogeneous spaces / Théorie des représentations et Analyse sur les espaces homogènes

Embedding for Data Analysis : Multidimensional Scaling and Manifold Learning - Part 1

Information about the video

Last related questions on MathOverflow

Ask a question on MathOverflow

Comment répartir au mieux les ressources ? Les mathématiques du transport optimal

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