Which Al focuses on classifying or identifying content that is based on preexisting data?

Homework Help: Questions and Answers: Which Al focuses on classifying or identifying content that is based on preexisting data?

Which Al focuses on classifying or identifying content that is based on preexisting data?

a) unsupervised learning
b) narrow
c) reactive
d) discriminative

Answer:

First, let’s understand what the question is asking: It’s about for a type of AI that classifies or identifies content based on preexisting data.

Now, let’s analysis each given options to determine correct answer (option).

Given Options: Step by Step Answering

a) Unsupervised Learning

  • This type of AI deals with finding hidden patterns or intrinsic structures in input data. It does not use labeled data for training. Instead, it identifies patterns without any prior knowledge or labels.

b) Narrow AI

  • This refers to AI that is designed to perform a specific task or a narrow range of tasks. It doesn’t specifically refer to classification or identification based on preexisting data.

c) Reactive AI

  • This type of AI is purely reactive and doesn’t use historical data to make decisions. It operates based only on the current situation without learning or using past experiences.

d) Discriminative AI

  • Discriminative models are a type of supervised learning. They classify or identify content by differentiating between different classes based on labeled training data. They focus on modeling the boundary between classes.

Final Answer:

Based on the above analysis, the correct answer is: 

d) discriminative

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