My own list of 33 topics to cover machine learning

Made a list of 33 topics in machine learning - to have a bigger picture of economentrics, ML and neural networks. Not everythong I know well, rather a list of things I wish I knew well. Does the list make sense, how balanced is it?

Link: [https://docs.google.com/document/d/e/2PACX-1vT9ZkQJDDimZuPgBb7\_hUJ40lm8LhqzL45HwIcYRYHw0AQkwA7pcqg0AIE7Gwf3QpAnZ34-BrFrWovO/pub](https://docs.google.com/document/d/e/2PACX-1vT9ZkQJDDimZuPgBb7_hUJ40lm8LhqzL45HwIcYRYHw0AQkwA7pcqg0AIE7Gwf3QpAnZ34-BrFrWovO/pub)

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