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Could you give some references for an ML novice to learn these techniques? (Papers, books, anything.) I've been studying ML, but I'm not advanced enough yet to
by shawn 8y ago
Could you give some references for an ML novice to learn these techniques? (Papers, books, anything.) I've been studying ML, but I'm not advanced enough yet to know effective ways to learn state of the art methods.
- foota 8y agoI 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.