This session will provide a primer on machine learning, a high-level non-intimidating overview. We’re going to demystify machine learning and its use. We’ll look at how learning occurs and how deep learning is different. We will review 6-8 common algorithms such that you get a good intuition about each one. (e.g., Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbor, K-Means, Neural Networks, Deep Learning). There will be very little math and no coding. The goal is for everyone to become conversant with machine learning.