I pushed a new feature to Machine Learning for Kids last night: “class projects”. Now a whole class of students can work on a project together – all helping to train a shared, group machine learning model.
I’ll write some proper documentation for it, but in the meantime I thought I’d share a few quick thoughts on how this works and what it’s for.
I write a lot about what I’m doing with machine learning for kids, but in this post, I want to share a little about how I ended up doing it and why.
I tend to write about *what* I’ve done. I rarely write how things happened though, or what made me do them. I just assume that people would be less interested in that.
But, if I think about what I find interesting, it tends to be the backstory to projects. To use Nick as an example, I’ve seen him give loads of talks about Node-RED. And I’ve enjoyed the ones where he talks about how Node-RED happened more than where he gives demos of what Node-RED is.
Inspired by that, I thought I should at least try to capture a few breadcrumbs for how I ended up where I am now with machinelearningforkids.co.uk.