Overview
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Explore cutting-edge developments in time series modeling through a 33-minute conference talk delivered by USC Professor Yan Liu, PhD, a distinguished machine learning expert and NSF CAREER Award recipient. Delve into innovative GPT-inspired architectures designed to capture dynamic patterns across multiple domains, with particular focus on their applications in climate science, healthcare, and sustainability. Learn how the convergence of natural language processing and time series analysis is reshaping the field, as Professor Liu guides you through fundamental AI concepts, practical challenges in real-world time series data, and the implementation of foundation models for both time series and spatiotemporal data. Gain valuable insights from a leading researcher who holds influential positions in prestigious conferences like KDD and ICLR, making this presentation essential viewing for professionals and enthusiasts in machine learning, AI, and data science.
Syllabus
- Introduction
- The AI Era: A Pivotal Moment
- Fundamental AI - Pushing the Frontier of AI
- Practical Challenges: Real-world Time Series Data
- Foundation Models for Time Series | Contextual Information
- Foundation Models for Spatiotemporal Data
Taught by
Open Data Science