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by pyromine
3458 days ago
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You can certainly learn to implement the APIs that are available, but in terms of really understanding I'd say wait a bit. Take classes in probability, and linear algebra, from there you'll begin to have the level of mathematics to be able to really dive in. You'll also have the computer science maturity to better understand the libraries in use, and in truth the field will have advanced a bit in the time it takes for you to get those foundations. There was just a good reddit[1] thread about what topics to focus on in linear algebra and probability that you should be paying attention to, because those two subjects are largely the mathematical foundations of machine learning. [1]:https://www.reddit.com/r/MachineLearning/comments/5klywi/d_w... |
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