I really think the FastAI course needs to be taken with a heaping dose of salt in the form of "here are all the non-DL solutions to common problems" -- there's a ton of material out there already, but based on anecdotal evidence, there are a lot of folks very new to ML & data science in general that are taking the course (i.e. people like myself).
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I really think the FastAI course needs to be taken with a heaping dose of salt in the form of "here are all the non-DL solutions to common problems" -- there's a ton of material out there already, but based on anecdotal evidence, there are a lot of folks very new to ML & data science in general that are taking the course (i.e. people like myself).
Have you looked at fast.ai's ML course? It might also be worth a try. http://forums.fast.ai/t/another-treat-early-access-to-intro-...
I'd also recommend the Andrew Ng Coursera course, which I talked about here: https://harveynick.com/2018/04/25/some-notes-on-the-andrew-n...