The machine learning age is well underway. Today’s software can see novel patterns that humans are unable to see and improve task performance based on experience. Learning algorithms are widely used for varied purposes, including loan approval, intrusion detection, fraud prevention, risk analysis, and online sales optimization. Yet, like the proverbial cobbler who left his children shoeless, software practitioners have been slow to apply the benefits of machine learning to their own work. Join Stephen Frein for a tour of the current machine learning landscape and its most popular...
Stephen Frein
Comcast
Stephen Frein is a senior director of software engineering at Comcast. He previously managed high profile software projects for the U.S. Department of Defense and the U.S. Treasury. For two decades, he has been leading development and testing teams to questionable success by dint of accidents he cannot reliably replicate. As an adjunct professor at Drexel and Villanova, Stephen delivers soporific lectures on machine learning, database development, and technology management to frequently inattentive students. He has presented at previous TechWell events by sneaking into unused rooms and deceiving the unsuspecting. Stephen enjoys polluting the hive mind via TechBeacon and other industry publications with questionable editorial standards. Visit his poorly maintained vanity website, where he practices writing vapid, self-congratulatory bios.