10min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Enhancing Time Series Forecasting with Data Augmentation

This chapter examines the importance of data generation and augmentation in improving time series forecasting models. It contrasts the challenges posed by limited high-quality time series data with the availability of datasets in language modeling, detailing specific augmentation techniques like TS Mixup and Gaussian processes. The discussion includes insights on the efficacy of combining real and synthetic data for training, along with the evaluation methods used to benchmark model performance.

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