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September 26, 2017
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Kernel Density Estimation (KDE)
![](https://www.tumblr.com/widgets/share/tool?posttype=photo&canonicalUrl=https%3A%2F%2Fkoken.numxl.com%2Fcontent%2F11-2%2F&content=https%3A%2F%2Fkoken.numxl.com%2Fstorage%2Fcache%2Fimages%2F000%2F420%2F11%2Flarge.1598027263.png&caption=%3Cp%3E%3Cstrong%3E%3Ca href="https%3A%2F%2Fkoken.numxl.com%2Fcontent%2F11-2%2F" title="11.png"%3E11.png%3C/a%3E%3C/strong%3E%3C/p%3E%3Cp%3E%3C/p%3E){kind=link}
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![](https://www.tumblr.com/widgets/share/tool?posttype=photo&canonicalUrl=https%3A%2F%2Fkoken.numxl.com%2Fsets%2Fkernel-density-estimation-kde%2F&content=https%3A%2F%2Fkoken.numxl.com%2Fstorage%2Fcache%2Fimages%2F000%2F396%2Fgaussian-krnels%2Flarge.1598027263.jpg&caption=%3Cp%3E%3Cstrong%3E%3Ca href="https%3A%2F%2Fkoken.numxl.com%2Fsets%2Fkernel-density-estimation-kde%2F" title="Kernel Density Estimation (KDE)"%3EKernel Density Estimation (KDE)%3C/a%3E%3C/strong%3E%3C/p%3E%3Cp%3E%3C/p%3E){kind=link}