Past Speakers
Please visit https://capture.udel.edu/channel/Data+Science+Community+Hour for recordings of previous events (must be logged in).
This is week one of a two part topic on Anaconda.
Firstly, we will give an interactive tutorial on installing the popular Anaconda data science platform on your PC or Mac. Then we’ll run some initial machine learning tests and a few simple programs. (As Anaconda load times can be 30–40 minutes, please visit this site http://www.udel.edu/008153 before the presentation to find some pre-work you can do to be ready to participate in the hands-on
activities.)
Secondly, we will introduce the concept of adversarial machine learning, a technique where carefully constructed or perturbed data instances, observations, or training data can be used to cause a machine learning model, such as an image classifier, to make widely inaccurate predictions.
Over the past 35 years, Chase Cotton (Ph.D. EE, UD, ‘84; BS ME, UT Austin, ‘75, CISSP) has held research, development, and engineering roles, primarily in telecommunications. In both the corporate and academic worlds, he has been involved in computer, communications, and security research for the technologies used in Internet and data services. Since 2008, Dr. Cotton has been at UD in the Department of Electrical and Computer Engineering, developing security courses & degree programs