The Big Data Process: How Knowledge Becomes Insight
Duke University
Professor Cynthia Rudin teaches computer science, electrical and computer engineering as well as statistical science at Duke University. She directs the Prediction Analysis Lab, whose main focus is in interpretable machine learning and is the Associate Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI).
Overview
This lecture will focus upon the intersection of machine learning and statistics. How did Target figure out that people were pregnant just by researching someone’s purchase history? How much information is Google gathering? How do we turn data into insight and how can we use these predictions to make life better? These questions and more will be answered by Professor Cynthia Rudin.
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I thought the orator was well-spoken, informative, and interesting. The wide angle shot that was meant to allow us to see the PowerPoint and the speaker was annoying as it made the slides hard to read. The auto focus was left enabled on the camera causing the slides to come in and out of focus which I found distracting.