Zero Sum Games (but one real winner!) December's Machine Learning Group will be loosely based on GANs. GANs (generative adversarial networks) are a class of machine learning frameworks where neural networks (NN) compete in a zero sum game.
Evelyn J. Boettcher will give a tutorial on K-means and Gaussian Mixture model. These methods are used in unsupervised learning and sound a bit scary. This tutorial breaks down what K-means and GMS is and how to apply them.
Dr. Aaron Nielsen will talk on modeling CO2 in office spaces to predict occupancy! ML/AI is more than just inputting data in to get same type of data out. It can be used to predict something new, like feed in…
A walk through a personal project that my family used to protect our child from unauthorized social media posts. Scanning multiple social media posts is too time-consuming for parents to do, however it is not that CPU intensive.