
Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Evaluation Setup and Overfitting Risks in Time Series Modeling
This chapter explores the setup for evaluating time series data, emphasizing the importance of selecting appropriate splitting points to prevent data leakage. It also addresses risks of overfitting and the need for consistency in evaluation methods across different datasets.
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