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CMA-ES in Optuna: hyperparameter optimization without gradients

https://sudonull.com/cma-es-in-optuna-hyperparameter-optimization-without-gradients

Step-by-step breakdown of CMA-ES — an evolutionary algorithm for hyperparameter selection. How step adaptation and covariance matrix work. Examples and recommendations.

Kaggle Lessons: How to Reach the Top 12% with 158 Attempts | ML

https://sudonull.com/kaggle-lessons-how-to-reach-the-top-12-with-158-attempts-ml

How to Overcome Defeat in a Kaggle Competition and Enter the Top 12%? I Share Three Lessons on Working with Multiple Models, Blending, and Hyperparameters. Learn How Extensive Experience Shapes an Expert.

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