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Parametrized Predictors
easy

Arrange the following steps in the correct order for constructing a parametrized predictor model: 1) Define the structure of the predictor, 2) Choose the parameters, 3) Collect the data, 4) Optimize the parameters using empirical risk minimization.

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Learning Path
Learning Path

Question & Answer
1
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2
Review Options
3
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Choose AnswerChoose the Best Answer

A

3→1→2→4

B

1→2→3→4

C

1→3→2→4

D

2→1→3→4

Understanding the Answer

Let's break down why this is correct

First you need data to see what the model will learn. Other options are incorrect because It assumes you can design and set parameters before seeing any data; It puts the structure before data.

Key Concepts

Parametrized Predictors
Empirical Risk Minimization
Predictive Modeling
Topic

Parametrized Predictors

Difficulty

easy level question

Cognitive Level

understand

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Definition
Definition

Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.

Topic Definition

Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.

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