I just try to follow along, I don't really get into the details. The bit I was referencing was from a blog post that was on here a while ago: https://ai.googleb

I just try to follow along, I don't really get into the details. The bit I was referencing was from a blog post that was on here a while ago: https://ai.googleblog.com/2018/03/the-building-blocks-of-interpretability.html https://ai.googleblog.com/2018/03/the-building-blocks-of-int.... That said, I've seen the following listed as good resources: fast.ai The Google ML crash course Andrew Ng's Coursera course If reddit's your thing, it also looks like there's a sub, https://www.reddit.com/r/learnmachinelearning/ https://www.reddit.com/r/learnmachinelearning/, that might be helpful.