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.
Fine-tuning AI for technical writing: lessons after failure | IT Practice https://sudonull.com/fine-tuning-ai-for-technical-writing-lessons-after-failure-it-practice
How to personalize a language model for technical content. Practical steps for fine-tuning, hyperparameter tuning, and quality evaluation. Learn how to avoid failures.