Time Series Foundation Models: A Tutorial and Survey скачать в хорошем качестве

Time Series Foundation Models: A Tutorial and Survey

#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.