AI Engineering Degree Practice Exam 2025 - Free AI Engineering Practice Questions and Study Guide

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What is a key function of machine learning algorithms?

To explicitly program every possible outcome

To learn from data and improve over time

The key function of machine learning algorithms is to learn from data and improve over time. This is fundamental to how machine learning operates; rather than being explicitly programmed with rules for every possible outcome, machine learning algorithms analyze data patterns, extract features, and develop models that can make predictions or decisions based on new inputs.

As they are exposed to more data, these algorithms can adjust their parameters and improve their performance, effectively learning in a way that allows them to generalize their knowledge to unseen situations. This adaptability is what distinguishes machine learning from traditional programming, where outcomes are hard-coded.

By continuously learning from data, machine learning algorithms can enhance their accuracy and effectiveness in tasks such as classification, regression, and clustering, making them valuable tools across various domains and applications.

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To replace traditional statistical methods

To minimize the number of data points involved

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