This past week we’ve been blogging about BigML’s new Principal Component Analysis (PCA) feature. In this post, we will continue on that topic and discuss some of the mathematical fundamentals of PCA, and reveal some of the technical details of BigML’s implementation. A Geometric Interpretation Let’s revisit our old friend the iris dataset. To simplify […]
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