Time Series Modeling

Matt discusses two powerful approaches for time series forecasting: N-BEATS and DeepAR, both integrated within the GluonTS package. He highlights their effectiveness in handling large datasets, particularly in projects with over 10,000 time series. By leveraging cloud resources and advanced algorithms, consultants are achieving impressive results, mirroring the strategies that dominate Kaggle competitions.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 463: Time Series Analysis — with Matt Dancho
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- How do you leverage different models in machine learning as discussed in the episode 771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko and the clip Machine Learning Insights, as well as in the episode 549-william-falcon-optimizing-deep-learning-models and the clip Data Transformation Challenges?

Time Series Modeling

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

SDS 463: Time Series Analysis — with Matt Dancho

Related Questions