Performance and scikit-learn (0/4)
Read OriginalThis article introduces a series of blog posts detailing the scikit-learn development team's work to enhance the library's performance by orders of magnitude. It will cover hardware scalability issues, using k-nearest neighbors as an example, and delve into technical optimizations like Pairwise Distances Reduction, requiring knowledge of algorithms, CPU architecture, and Cython.
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