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Darren Wilkinson's blog
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Statistics, computing, functional programming, data science, Bayes, stochastic modelling, systems biology and bioinformatics
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Darren Wilkinson's blog
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2025-12-17 21:07:27
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Darren Wilkinson's blog – Statistics, computing, functional programming, data science, Bayes, stochastic modelling, systems biology and bioinformatics Skip to content Darren Wilkinson's blog Statistics, computing, functional programming, data science, Bayes, stochastic modelling, systems biology and bioinformatics Menu and widgets An introduction to functional programming for scalable statistical computing and machine learning Functional programming (FP) languages are great for statistical computing, computational statistics, and machine learning. They are particularly well-suited to scalable computation, where this could either mean scaling up to distributed algorithms for very big data, or running algorithms for more moderately sized data sets very fast in parallel on GPUs. However, people unfamiliar with FP often find FP languages quite intimidating, due to the fairly steep initial learning curve. This issue is exacerbated by the fact that there is very little introdu...
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