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This workshop will serve as basic introduction to hyper-parameter tuning algorithms in an optimization perspective. Throughout this workshop, I will try to cover the following topics, namely: Introduce automated machine learning, introduce hyper-parameter tuning in automated machine learning context, introduce some popular hyper-parameter tuning packages in Python, and finally introduce some easy-to-start-with hyperparameter tuning algorithms: grid search and random search with toy examples.

- Presentation (Intro to Automated Machine Learning: Hyper-parameter Tuning)Presentation from the workshop.

- Colab Notebook (Intro to Automated Machine Learning: Hyper-parameter Tuning)Colab notebook used during this workshop.

- Last Edited: Nov 8, 2024 2:02 PM
- URL: https://guides.lib.purdue.edu/d-velop
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