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Parametrized Predictors
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Linear regression:Parameters :: Neural networks:?

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A

Weights

B

Activations

C

Outputs

D

Inputs

Understanding the Answer

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In a neural network, the numbers that decide how much one neuron influences another are called weights. Other options are incorrect because Activations are the results after a neuron’s weighted sum passes through a function; Outputs are the final answers the network gives.

Key Concepts

Parametrized Predictors
Predictive Modeling
Machine Learning
Topic

Parametrized Predictors

Difficulty

easy level question

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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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