Week #13 – Multiplicity issues

Multiplicity issues arise in a number of contexts, but they generally boil down to the same thing:  repeated looks at a data set in different ways, until something "statistically significant" emerges.

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Week #12 – Support vector machines

Support vector machines are used in data mining (predictive modeling, to be specific) for classification of records, by learning from training data.

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Week #11 – Attribute

In data analysis or data mining, an attribute is a characteristic or feature that is measured for each observation (record) and can vary from one observation to another.  It might

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