D+TM #49 Gene Kogan
What: D+TM #49
What: Intro to Machine Learning
When: Tuesday 28th of February, 3 to 8PM
Where: Parsons Paris room 500
Who: Gene Kogan
This workshop introduces the theory and application of machine learning for creative and artistic practice. It will focus on core algorithms used for parsing, visualizing, and discovering patterns in complex multimedia data, including images, sounds, and text. We will learn how to use neural networks to create real-time, cross-modal interactions for use in video and installation, as well as live music performance. We will also provide tools and code for clustering, visualizing, and searching through large collections of multimedia. Prior coding experience in a text-based (Java/Processing, C++/openFrameworks, Python) or patch-based (Max/MSP) programming environment is helpful but not necessary.
Gene Kogan is an artist and a programmer who is interested in generative systems, artificial intelligence, and software for creativity and self-expression. He is a collaborator within numerous open-source software projects, and leads workshops and demonstrations on topics at the intersection of code, art, and technology activism. Gene initiated and contributes to ml4a, a free book about machine learning for artists, activists, and citizen scientists. He regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the topic.