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Data 311

Machine Learning

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Regression, classification, resampling, model selection and validation, fundamental properties of matrices, dimension reduction, tree-based methods, unsupervised learning.


Lecture 11 Lecture 12 Lecture 13

Posted on:
June 10, 2021
Length:
1 minute read, 23 words
See Also:
← Stat 230 DATA 101 →

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