Hyperparameters Tuning: Grid Search vs Random Search
In this video we talk about two methods that are commonly used to fine-tune the hyperparameters of a statistical model: (1) grid search and (2) random search, and what are the advantages and disadvantages of each one.
References
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Grid search vs random search figure taken from: A kernel design approach to improve kernel subspace identification
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Contents
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00:00 - Hyperparameters Intro
01:04 - Grid Search
01:34 - Random Search
02:08 - Pros and cons
02:45 - Outro
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#hyperparameters #finetune #gridsearch #randomsearch
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