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Supercharge your time series forecasting with the TimesFM model from Google Research! In this video, we show you how to harness the power of GPUs and Vertex AI Workbench notebooks to run this cutting-edge model.
Learn how to:
- Set up a GPU-enabled Jupyter notebook on Google Cloud
- Install required dependencies like Hugging Face Hub, PyTorch, and Jax
- Configure the TimesFM model for your forecasting needs
- Prepare your time series data using Pandas
- Generate forecasts and interpret the results
Whether you're a beginner or a pro, this tutorial will level up your time series skills.
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0:00 Conceptual Overview
1:17 Vertex AI Workbench (Jupyter)
2:40 TimesFM Setup
5:04 Time Series and Model
7:08 Synthetic Data (Pandas and Numpy)
8:29 Forecasting/Prediction