Dive into a full-day, expert-level workshop dedicated to the exploration of the latest advancements in machine learning for time series forecasting—an essential aspect of enterprise practice. While the impact of Deep Learning on forecasting is now considered a given, this workshop aims to push the boundaries further by focusing on the transformative capabilities of the new wave of transformer models. We will critically examine whether these models can unlock untapped potential and address the pressing question: Can we realize the promise of transfer learning in the time series domain? This intensive workshop is a blend of advanced theory and hands-on exercises, featuring state-of-the-art tools like the Darts framework. Engage in stimulating lab work designed to provide actionable insights into the future of machine learning and time series forecasting.
Levente is a long time enthusiast of anything cognitive. Originally a programmer, but finished his masters as a Buddhist Theologian, with cognitive science specialization. He started to do AI related work in the early 2000s in knowledge representation, then switched over to become the lead of research for a quantitative finance research group. He later founded an award winning startup (Best Chatbo...