Machine Learning Circa Minority Report

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October 2017

Presented by Kesha Williams (@KeshaUCI)

Date: October 19, 2017
Time: 20:00 CDT

18:00 PDT, 3:00 CEST (Oct 20), 2:00 BST (Oct 20)
Not sure of the time in your area? Check it on timeanddate.com

Minority Report was a 2002 American science fiction film based in 2054 where police officers apprehended criminals based on predictions and foreknowledge. We are not in 2054 but fast-forward to 2017, we are now closer than ever before to the world imagined in Minority Report because of Machine Learning (ML). ML is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. For all intents and purposes, ML is foreknowledge that can be applied across several disciplines in order to answer questions and make predictions. One such discipline, predictive policing, uses ML to predict the likelihood of crime. This talk introduces ML through a predictive policing program called SAM (Suspicious Activity Monitor). During this talk, the “secrets” and technologies behind SAM are uncovered and attendees walk away with the necessary tools and understanding to incorporate ML into their own applications.

Kesha Williams

Kesha Williams

Kesha Williams is a software engineer with over 20 years’ experience specializing in web application development. In addition to being a software engineer with Chick-fil-A, she trains and mentors thousands of software developers in the US, Europe, and Asia while teaching at the University of California. She’s authored courses on Java, Machine Learning (ML), Artificial Intelligence (AI), and Augmented Reality (AR). She most recently won the Think Different Innovation Award from Chick-fil-A for her work on investigating how emerging technologies like Artificial Intelligence (AI), Augmented Reality (AR), Computer Vision/Facial Recognition, and the Internet of Things (IOT) can enhance restaurant operations and customer experiences. She has worked for companies like Delta Air Lines, McKesson Information Systems, and Keane Federal Systems (U.S. Air Force), serving in various technical lead and software development roles. She did her summer internship with the National Security Agency (NSA); how cool is that? In her spare time, she leads the Georgia chapter of Technovation, serves as a mentor with the New York Academy of Sciences, and conducts free Hour of Code sessions for children at her local library.

 

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