Optimization Explore Exploit Tradeoff A practical guide to Bayesian optimization with visuals. Learn how it balances exploration and exploitation to find global maxima in costly black-box functions using Gaussian processes and uncertainty-based utility functions.
MachineLearning From Derivatives to Adam: Building Optimization Intuition with PyTorch From first and second derivatives to Adam optimizer: a hands-on walkthrough of key optimization ideas using PyTorch. Simple, minimal examples with gradients, momentum, and adaptive learning strategies to build deep intuition.
