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
Watch video Hyperparameters Tuning: Grid Search vs Random Search online without registration, duration hours minute second in high quality. This video was added by user DataMListic 23 February 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 4,264 once and liked it 88 people.