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Comment by civilian | Hacker News Reader

I just started the Coursera Machine Learning course. I know that it's probably a bit under your skill level, but the second half of the class might give you some broad education about what's possible in the field of machine learning. https://www.coursera.org/learn/machine-learning/

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I started this course to learn the maths, technical terms, approaches and 'philosophy' of machine learning. I'd highly recommend it even with the stats knowledge you have, you'll still get a lot out of it. I wanted to be able to understand articles about deep learning and this course allowed me to do that.

I recommend watching the videos at a higher speed at least, and you can skip ahead if you are not doing the course to get a validated grade, although I suggest working through the whole choose.

Oh yeah, Ng talks pretty slow. 1.25 is a minimum cruising speed and I often go faster.

After taking Andrew Ngs course I highly recommend you take cs231n afterwards.

Assuming you know a little bit of calculus you'll be able to create and train fully connected networks, convolution networks, recurrent networks, and long short term memory networks using only numpy. You will feel very comfortable with deep learning after taking this class.

http://cs231n.stanford.edu/syllabus.html

The lecture videos for the course got taken down due to complaints, but you can recover them via google

+1 to that. I'm on week 4 and every week apart from the first one I've learned interesting stuff that wasn't covered in my undergrad CS course.

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