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강의 Foundations of Machine Learning을 듣고 제 나름대로 정리한 글입니다. 해당 사이트는 다음과 같습니다. Foundations of Machine Learning (bloomberg.github.io) Foundations of Machine Learning With linear methods, we may need a whole lot of features to get a hypothesis space that's expressive enough to fit our data -- there can be orders of magnitude more features than training examples. While regularization can control overfit..

강의 Foundations of Machine Learning을 듣고 제 나름대로 정리한 글입니다. 해당 사이트는 다음과 같습니다. Foundations of Machine Learning (bloomberg.github.io) Foundations of Machine Learning With linear methods, we may need a whole lot of features to get a hypothesis space that's expressive enough to fit our data -- there can be orders of magnitude more features than training examples. While regularization can control overfit..