0D0AinThe StartupReinforcement Learning: Non-stationary ProblemsTracking non-stationary problems with a constant step-size approachJun 14, 20203Jun 14, 20203
0D0AinThe StartupReinforcement Learning Foundations: Sample-Averages w/ ε-greedy selectionThe variety of methods and approaches that are wrapped up in the Machine Learning family is pretty impressive. Reinforcement Learning (RL)…May 30, 20201May 30, 20201
0D0AKaggle: Yet Another ‘Getting Started’‘Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data…Oct 26, 2019Oct 26, 2019
0D0AInflicting code on others: an authoritative guide to your first Pull RequestSo you’ve given in to peer pressure and want to contribute to an Open Source project. This article will Git you up and running in no time.Oct 1, 2019Oct 1, 2019
0D0ADeploy it: Using Heroku to continuously build and deploy a deep-learning-powered web application.You have a trained Machine-Learning based model. Now what? This write-up takes your exported model and helps you get it into production.Jul 29, 20192Jul 29, 20192
0D0AClean it, Train it, Deploy it, Make ML, Harder Better Faster Stronger*My get-rich-quick in 12 easy steps approach to solving a classification problem using Deep Learning. Now you can do it too.Jul 25, 2019Jul 25, 2019
0D0AGetting started with VelociraptorVelociraptor was getting a lot of buzz and I’ve been wanting to experiment with it in my home lab for a while — now I’ve finally gotten…Jul 13, 20191Jul 13, 20191
