A Machine Learning Primer
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.
Antony Ross is a consultant specializing in data science and machine learning applied to sports performance. He has worked closely with USC and UCLA and is presently involved with the Recurse Center in New York researching deep learning and voice recognition.
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