Archives for Regularization
The Regularized Discriminant Analysis is a combination of both Linear and Quadratic discriminant analysis which analyze the observation-based set of measurements to classify the objects into one of several groups or classes.
Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model.
“Like a plucked apple, research in theoretical statistics tends to dry up after it has been removed from its source of nourishment.” Gelman et al. Data science is a product of statistics. Some even call it glorified statistics. While the debate doesn’t seem to go away anytime soon, we take a look at a few…
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