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My question for someone that has an intermediate level of skill in machine learning, what's the best way to dip your toes in? (Udacity, coursera, edx, PDFs, Tal
by alvern 11y ago
My question for someone that has an intermediate level of skill in machine learning, what's the best way to dip your toes in? (Udacity, coursera, edx, PDFs, Talking Machines podcast, etc)
- zintinio4 11y agoFind a problem to work on in a domain you find interesting. By reading published papers and trying to attack the problem, you'll be forced to pick up a lot of other knowledge not commonly discussed like: feature extraction and selection, dimensionality reduction, dealing with sparsity, common metrics for that problem, recent work, etc. I was forced to learn a massive amount in a short period of time for work, but I'd previously watched Andrew Ng's lectures, as well as majored in Math/CS. I can also generally recommend Hinton's NN lectures, Socher's Deep learning for NLP, Andrew Ng's Machine Learning, and a few books.