What do data scientist think of time series analysis
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Technical Challenges with Time Series
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Transformers is all we need
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TST Base Model
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Unsupervised Pre-training
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Supervised fine-tuning
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Classification
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Data Imputation/forecasting
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How well does it work?
Description:
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.
A Transformer-Based Framework for Multivariate Time Series Representation Learning