Moose v. Woodchuck

Explore the intricacies of machine learning and its applications in computer security through this 22-minute conference talk from Shmoocon 2020. Delve into the reasons behind ShmooCon's use of animal picture identification to thwart bots during ticket sales. Gain insights into how computers learn, their limitations, and the surprising similarities between woodchucks and moose. Learn a simple framework for understanding computer problem-solving approaches. Examine potential computer security applications of machine learning and develop skills to critically evaluate products claiming "deep learning" or "AI" solutions. Discuss the implications of large datasets required for reliable machine learning algorithms on privacy, including personal photos and corporate intellectual property. Benefit from the expertise of Samantha Livingston, a Boston-based software developer specializing in exploratory data analysis tools for real-world problem-solving.

Moose v. Woodchuck - Samantha Livingston (Shmoocon 2020)