In agreeing to teach a Machine Learning course at PNCA's Make+Think+Code program, I realized I had to learn it myself. This is my course material - a set of notes that became a series of workshops, using ML5.js, Papers[ace, ML4A_OFX for OpenFrameworks, and a little bit of Tensorflow / Magenta.
I don't claim to be an expert in the field, but definitely a dedicated enthusiast. If you are experienced in the field and come across this, I'd love your feedback, corrections, etc. And if you're just getting started, I hope the material is helpful to you!
The material is divided into 3 sections:
- Intro to Machine Learning for Artists
- Visual Machine Learning
- Machine Learning in Text and Speech
- Machine Learning in Audio and Music
I like dropbox paper, because it retains the ability to modify, comment, and version the material, gives a nice uncluttered visual presentation, and allows you to easily turn things into slides with the click of the "present" button.
Hope it's helpful!