3. Answer the following questions about supervised learning: (a) What is the difference between parametric and non-parametric models? Also give an example each.
3. Answer the following questions about supervised learning: (a) What is the difference between parametric and non-parametric models? Also give an example each.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:Answer the following questions about supervised learning:
What is the difference between parametric and non-parametric models? Also give an example
3.
(а)
each.
(b)
What is the purpose of k-fold cross-validation? How is it done?
(c)
Explain the concept of boosting when learning an ensemble based classifier.
(d)
How is a naïve Bayesian model different from a regular one? What is the motivation (or
advantage) of using a naïve model?
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