Efficient feature selection via genetic algorithms

Efficient feature selection via CMA-ES (Covariance Matrix Adaptation Evolution Strategy)

Understanding Deep Learning Optimizers: Momentum, AdaGrad, RMSProp & Adam

DL Notes: Advanced Gradient Descent

A Marriage of Machine Learning and Optimization Algorithms

Genetic Algorithm — Finding Optimal Email Delivery Schedule to Maximize Engagement

The Best Optimization Algorithm for Your Neural Network

Optimization: Geometrical Interpretation of the Newton-Raphson Method

Science, Passion, and the Future of Multi-Objective Optimization

Meta-Heuristics Explained: Ant Colony Optimization