Time Series Foundation Models: A Tutorial and Survey

Автор: MLBoost

Загружено: 2024-11-01

Просмотров: 4096

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#ai #timeseriesanalysis
Ever wondered what time series foundational models are, what they have to offer, and how one can distinguish between their genuine capabilities/limitations and speculative hype?

Exciting news! In an upcoming seminar on the MLBoost YouTube channel, I will be hosting Ming Jin from Griffith University, one of the authors of the paper "Foundation Models for Time Series Analysis: A Tutorial and Survey (link in the comments section)."

To receive the slides a few days before the event, simply comment "Interested" below or join the MLBoost Slack channel using a link in the comments section.

This is an opportunity to gain insights into:

The latest advancements in Time Series Foundation Models (TSFMs)

How TSFMs are revolutionizing time series analysis across various domains

A comprehensive methodology-centric classification of TSFMs
Future research opportunities in this rapidly evolving field

This seminar offers a unique chance to learn from an expert at the forefront of time series analysis and foundation models.

Time Series Foundation Models: A Tutorial and Survey

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