Intro to Artificial Intelligence
with Samwell Freeman in collaboration with Laboratory

Wednesday, December 2 // 6-8pm

How do we make machines think? We'll apply machine learning to practical problems involving real-world data, starting with a brief overview of the field and some theoretical background. Then we will dive into a couple simple example problems and apply several machine learning algorithms to them and visualize the results. The class will end with a discussion of several popular software packages available for machine learning and some tips and tricks to getting those packages working. Beginners welcome--some programming experience suggested. Register online to save your spot!

NOTE: Computers are not absolutely necessary, but bring your own laptop if you have one, and if possible have Python installed (it comes installed on Macs and Linux). That way you can take the code we create home with you.

ABOUT THE TEACHER  |  Samwell Freeman is an interactive artist and a data scientist.  Most recently, he worked as a Computer Vision researcher at Apple, developing software for large-scale construction of 3D images. Previously, I completed a PhD in Computer Science, at the Graduate Center of the CUNY.  My thesis proposed algorithms for the discovery of regular and fractal patterns in laser scans of Upper Manhattan.  Along the way, Freeman taught math and programming courses at Hunter College, CUNY. He also led workshops on interactive art, Arduino, 3D modeling and printing at Alpha One Labs, a hackerspace in Brooklyn.