Kernel in Linear Algebra / Inner Product Space / Hyperplane / SVM / Kernel Function / Normed vector space / Metric Space
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The last expression evaluated in a function becomes the return value.
之前写过一篇 Expectation-Maximization Algorithm,但是太细碎了,没有抓住核心。
Original post is The Gradient and Directional Derivative from Mathematics School, Oregon State University. Here I thank the author(s) sincerely.
参考自 Introduction to Semi-Supervised Learning。
def square_and_cube(x): yield x**2 yield x**3
其实 Digest of Fluent Python 里有讲,只是我实在是太不习惯它的用法了:
Given 3 points,