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  "headline": "Time Series Forecasting with Machine Learning",
  "description": "Time series forecasting predicts future values from historical sequences. Traditional statistical methods (ARIMA, ETS) compete with deep learning approaches (LSTM, Transformer variants) depending on data volume and pattern complexity.",
  "dateCreated": "2026-05-24T02:49:13.668Z",
  "dateModified": "2026-05-24",
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  "license": "https://creativecommons.org/licenses/by/4.0/",
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      "name": "N-BEATS: Neural basis expansion analysis for interpretable time series forecasting",
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