Least Squares (MLR) and Weighted Least Squares; Lasso (L1), Ridge (L2), and Elastic Net Regularization; Kernel and Support Vector Machine...
Brandon Morgan
Cover Hill Climber and its many variants: Simple, Greedy, Random, and more!
Brief Overview a New Full Course covering three major Non-Classical Optimization Algorithms: Hill Climber, Simulated Annealing, Beam...
Co-Evolve Competing Game AI's for playing Lunar Lander using Python Gym Environment and EvolutionaryComputation Library!
Applying the Concepts of Differential Evolution in Evolving the Architecture of a Deep Convolutional Neural Network on the CIFAR-10 Dataset
Cover the Main Concepts of Evolutionary Strategies: Plus and Comma Strategies and Applying Them to Find the Pareto Front of a...
We will apply Evolutionary Programming to find the Best Solution to the Pressure Vessel Design Problem
Cover the Main Concepts of Evolutionary Programming: Mutation and Selection Operators
Cover the Main Topics of Genetic Programming and Apply Them to a Time Series Analysis Problem
The Culmination of Unit 3 by applying our Concepts to Evolve a Neural Network for Predicting a Time Series Problem