Which of the following AI models gets trained on the data fed to it and then is able to design a model that is adaptive to changes in data?

Homework Help: Questions and Answers: Which of the following AI models gets trained on the data fed to it and then is able to design a model that is adaptive to changes in data?

A. Rule-based
B. Learning-based
C. Machine learning
D. Deep learning

Answer:

First, let’s understand the question: Its about for AI models that gets trained on the data fed to it and then is able to design a model that is adaptive to changes in data.

Given Option: Step by Step Answering

a) Rule-based models

• These models follow a predefined set of rules to make decisions. They are not adaptive and don’t change based on new data. These models rely entirely on human-defined instructions and logic.

b) Learning-based models

• This term broadly refers to models that learn from data. It encompasses several AI models that adapt based on the input they receive. This could include both traditional machine learning and deep learning models. However, this term is a bit vague compared to other options.

c) Machine learning models

• These are models that are explicitly designed to learn patterns from data and improve their performance over time. They can adapt to changes in data and are trained using various algorithms to make predictions or decisions without explicit programming for every task.

d) Deep learning models

• A subset of machine learning, deep learning models consist of neural networks with multiple layers. They are highly adaptive and can handle large amounts of data, learning complex patterns from the input. They are more specialized than general machine learning models but still fit the description of models that can adapt to changes in data.

Final Answer

Based on the above analysis, the correct answer is:

c) Machine learning

Machine learning models are trained on data, can adapt to changes in that data, and some advanced techniques in ML (like AutoML or meta-learning) can be used to design or optimize models based on the data they’re given.

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