Today at Berkeley Lab

Free Intro to Machine Learning in R training on Nov. 26 and 27

In this two-part workshop series, basic features of supervised machine learning algorithms will be discussed, including k-nearest neighbor, linear regression, decision tree, random forest, boosting, and ensembling. Training will be held at D-Lab, on the UC Berkely campus. Space is limited and registration is required. For more information and to register, click here.

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