The Mathematics of Complex Streamed Data with Terry Lyons
Автор: Society for Industrial and Applied Mathematics (SIAM)
Загружено: 2025-06-13
Просмотров: 228
What happens when models ignore the order of events? In this talk, Terry Lyons explains why multimodal streamed data must be treated differently than unimodal data—and how traditional models fall short by overlooking timing and relationships.
Using simple examples—like whether a commuter catches a bus—Lyons shows how Rough Path Theory captures essential order information, enabling a more accurate and efficient description of data streams.
Learn how this framework:
Preserves event order without dense sampling
Reduces data dimensionality and training set size
Powers real-world applications with massive impact
A must-watch for anyone working in data science, machine learning, or mathematics.
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