Chapter 4 Parametric and Nonparametric Machine Learning Algorithms

Question 1

WHAT ARE PARAMETRIC LEARNING ALGORITHMS? P22

Answer 1

Algorithms that simplify the function to a known form are called parametric machine learning algorithms.

Question 2

WHAT ARE THE 2 STEPS OF A PARAMETRIC ALGORITHM? P22

Answer 2

1. Select a form for the function.
2. Learn the coefficients for the function from the training data.

Question 3

PARAMETRIC MACHINE LEARNING ALGORITHMS ARE OFTEN ALSO CALLED ….? P23

Answer 3

Linear machine learning algorithms

Question 4

EXAMPLES OF PARAMETRIC ML ALGORITHMS? P23

Answer 4

Logistic Regression
Linear Discriminant Analysis
Perceptron

Question 5

WHAT ARE NON-PARAMETRIC ML ALGORITHMS? P23

Answer 5

Algorithms that do not make strong assumptions about the form of the mapping function are called nonparametric machine learning algorithms.

Question 6

EXAMPLES OF NON-PARAMETRIC ALGORITHMS? P24

Answer 6

K-nearest neighbors
Decision Trees
Naïve Bayes
Support Vector Machines