Instructor: Mike Heavers
Two Saturday sessions:
Saturday, April 6th, 2019, 11:00am - 5:00pm
Saturday, April 20th, 2019, 11:00am - 5:00pm
Machine Learning is rapidly being implemented in all facets of life to parse data, learn from that data, and provide us conclusions or predictions based on what it has learned. Inherent in this is the fact that machines see the world very differently than we do. In assigning creative tasks to machines such as drawing pictures, making music, and creating written language, we expose these differences in strange and unexpected ways. This class will look at how to leverage various Machine Learning frameworks to generate art, music, and written language that belongs not fully to the human world or the computational one.
Machine Learning is not for the faint of heart - frameworks can be tricky to install, models slow to train, and results unpredictable. But unpredictability is half the fun! You will be expected to install some software, do some research, and run some computations outside of class. But don’t fear, we will arrive at some interesting results together regardless of technical expertise.
Audience: Creatives, data analysts, and those interested in both the human and computational brain.
Required Materials: Laptop
We have a limited number of scholarships for our workshops. If you need an application, please send an email to firstname.lastname@example.org with your complete name and contact information.
If you need academic credits for the workshops, please contact email@example.com.