Machine Learning Part 1: Supervised Learning and Neural Networks
A survey of machine learning topics including supervised, unsupervised, clustering and dimensionality reduction, and reinforcement learning
Machine Learning and Data Science topics
Machine Learning Part 2: Unsupervised Randomized Optimization
A practical look at Random Hill Climbing, Simulated Annealing, Genetic Algorithms, and MIMIC applied to neural network weight tuning and classic optimization problems.