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dynomight.net | ||
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jaykmody.com
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| | | | | Efficiently computing distances matrixes in NumPy. | |
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tothepoles.co.uk
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| | | | | There is a Jupyter Notebook accompanying this post HERE. NumPy is a Python package built around the concept of ndarrays (n-dimensional arrays) along with a suite of efficient functions for applying operations over those arrays. Many of the other important packages for data scientists are built on top of NumPy (e.g. Pandas, scikit-learn). In the... | |
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datascience.blog.wzb.eu
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| | | | | Modern computers are equipped with processors that allow fast parallel computation at several levels: Vector or array operations, which allow to execute similar operations simultaneously on a bunch... | |
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mathematicaloddsandends.wordpress.com
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| | | The function $latex f(x) = x \log x$ occurs in various places across math/statistics/machine learning (e.g. in the definition of entropy), and I thought I'd put a list of properties of the function here that I've found useful. Here is a plot of the function: $latex f$ is defined on $latex (0, \infty)$. The only... | ||
