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r project

Collaborative data science: High level guidance for ethical scientific peer reviews

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Preamble Catalan Castellers are collaborating (Wikipedia) Availability of distributed code tracking tools and associated collaborative tools make life much easier in building collaborative scientific tools and products. This is now especially much more important in data science as it is...

review ai git python machine learning github data science numpy scientific programming r programming r sustainable development r project

Teaching to machines: What is learning in machine learning entails?

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Preamble Ebbinghaus (WikipediaMachine Learning (ML) is now a de-facto skill for every quantitative job and almost every industry embraced it, even though fundamentals of the field is not new at all. However, what does it mean to teach to a machine? Unfortunately, for even moderate technical people...

machine learning data science data analysis statistical learning hebbian learning supervised learning gnu r learning theory function inference clustering classsification r hebbian theory r project

Understanding overfitting: an inaccurate meme in supervised learning

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Kindly reposted to KDnuggets by Gregory Piatetsky-Shapiro with the title Understanding overfitting: an inaccurate meme in machine learning Preamble There is a lot of confusion among practitioners regarding the concept of overfitting. It seems like, a kind of an urban legend or a meme, a folklore...

machine learning data science prediction statistical learning supervised learning gnu r cross-validation overtraining r programming overfitting regression statistics r r project regularisation