Bayesian optimization is a method used to optimize complex functions that are expensive or time-consuming to evaluate. It is widely applied in machine learning, engineering, and scientific research to improve efficiency and precision, particularly in scenarios like hyperparameter tuning and experimental design. ✔️ Efficient Function Evaluation: Bayesian optimization minimizes costly evaluations, making it ideal for scenarios where each evaluation has a high resource cost. ✔️ Versatility: It hand

Hyperparameter Optimization for Machine Learning

Automatic Hyperparameter Tuning - A Visual Guide (Part 1) | Antonin Raffin | Homepage

Advanced AI Training Suite Visualization Showing SVM Kernel Engine, 3D Kernel Trick Projection, Gradient Descent Optimization, Hyperparameter Tuning and Margin Maximization Metrics Dashboard

Hyperparameter Tuning - GeeksforGeeks

What Is Hyperparameter Tuning? | IBM