Date: October 14, 2021
Speakers: Charles Meyers
Title: Trustworthy Machine Learning
Abstract: At this week’s math club, we will discuss state-of-the-art modelling techniques and their weaknesses with an NYCCT alumni who is now a research scientist in Sweden, studying for
his PhD. He will demonstrate why linear algebra, multivariable calculus, discrete
mathematics, numerical methods, statistics, and optimization techniques are critical to
understanding artificial intelligence and its pitfalls. From there, we will draw concrete
connections between the theory you learn in the classroom and the real-world
applications. As an added bonus, he will highlight the tools and skills needed to turn your
NYCCT STEM degree into expertise, financial freedom, endless recruitment emails, and the ability to work remotely in the country of your choosing.