

TimeGPT: Machine Learning for Time Series, Made Accessible
12 snips Dec 14, 2023
Max Mergenthaler and Azul Garza Ramirez from Nixtla talk about TimeGPT, a simplified model for time series analysis. They discuss its simplicity, performance, and potential integration with other tools. They also explore the role of expert judgment and the future impact of TimeGPT on forecasting jobs.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 3min
TimeGPT: A Simplified Approach to Time Series Analysis
02:42 • 16min
The Future of TimeGPT and Fine-tuning
19:06 • 17min
Elements of Time Series Forecasting and the Role of the Community
35:57 • 4min
Real-time forecasting with TimeGPT and the future of time series libraries
39:54 • 2min
The Potential Impact of TimeGPT on Forecasting Jobs
41:53 • 2min