A Transformer-Based Framework for Multivariate Time Series Representation Learning

Explore a cutting-edge Transformer-based framework for multivariate time series representation learning in this 21-minute Launchpad video. Gain insights into the challenges data scientists face with time series analysis, understand the power of Transformers in addressing these issues, and discover the TST Base Model. Learn about unsupervised pre-training and supervised fine-tuning techniques, and delve into practical applications such as classification and data imputation/forecasting. Evaluate the framework's effectiveness and expand your knowledge of advanced time series analysis methods.

Intro
I've never worked with Time Series data
What do data scientist think of time series analysis
Technical Challenges with Time Series
Transformers is all we need
TST Base Model
Unsupervised Pre-training
Supervised fine-tuning
Classification
Data Imputation/forecasting
How well does it work?