Selected works I'm proud of. Ranging from front end development to machine learning.
Building a React SharePoint starter kit
Building a template to deploy React solutions built on top of SharePoint.
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 Part 2: 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.
Machine Learning Part 3: Unsupervised Learning & Dimensionality Reduction
Exploring clustering, Gaussian mixtures, and dimensionality reduction methods (PCA, ICA, RP, RF) on the Wine and Abalone datasets.
Machine Learning Part 4: Markov Decision Processes & Reinforcement Learning
Exploring Value Iteration, Policy Iteration, and Q-Learning in stochastic grid worlds, comparing convergence, rewards, timing, and behavior across easy and hard MDP environments.
SenseCourse
A look at using Watson AI to select courses based on your personality
GitHub Browser
Dashboard to visualize GitHub repositories, code languages used, and connections to other repos.