Introduction
An overview of statistial learning Statistical learning refers to a vast set of tools for understanding data.
Two categories: supervised and unsupervised.
Supervised: Build models based on known input and output data, then use the model for prediction or estimation.
Unsupervised: There are inputs but no supervised outputs. We can learn relationships and structures from such data.
Notation and simple algebra The $ X_{ij} $ represents the value for the $ jth $ variable for the $ ith $ observation, where $ i=1,2,…n $ and $ j=1,2,…n $.
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