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Neural Networks and Machine Learning
i just thought i'd take a two second to describe the central line. And then before to do that, so that people can get the visual. You start with fundamentals, and you hit calculus. With freeach of these things, you hit all those things that go in calculus,. ind linear algebra lead to multi-vigorous calculus which leads to probability theory. Then as we get the neural network section, basics of automization and mathematical statistics are together, and the neural networks down there. All of these have this amazing branching into all of the knowledge areas.