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fastml.com | ||
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blog.georgeshakan.com
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| | | | | Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, an example in python, and finally some intuition. The Math SVD asserts that any $latex m \times d$ matrix $latex... | |
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data36.com
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| | | | | Statistics is difficult.Of course it is, as it's most of the actual science part in data science. But that doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. In this article, I am going to list 6 books that I recommend starting with if you want to learn [...] | |
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danielcwilson.com
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| | | | | The difficulty with managing multiple transform functions in a single transform property forever resolved (kinda). Here's how to (almost) get independent transform properties today. | |
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www.hongliangjie.com
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