Hi everyone! I am teaching a MOOC (online class) called "Machine learning for musicians and artists,” and it has just opened: https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/i... https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/i... This class grew out of work that I've done with a number of computer music composers and music technology students, many of whom are ChucK users, and I hope it will be helpful to you. If you’re interested in machine learning for building new musical instruments or other real-time creative interactions, please sign up. No prior machine learning knowledge or mathematical background is necessary. The course is probably most interesting for people who can already program in some environment, because it allows you to connect code you write in languages like ChucK to machine learning algorithms as well as sensors, other software and hardware, etc. But the class should still be accessible to people who don’t program. I’m thrilled to be joined by two guest lecturers, music technology researcher Baptiste Caramiaux and composer/instrument builder/performer Laetitia Sonami. You can watch the lectures and access all the course content for free, or pay a small monthly subscription to also submit & get feedback on assignments. (FYI many familiar ChucK faces have been involved in Kadenze, including Spencer Salazar and Perry Cook, and Perry has a sound synthesis class there as well.) Please share widely with interested friends/colleagues/students! Best, Rebecca