QuestionDecember 18, 2025

Which statements correctly describe the role of big cata in unsupervised, supervisec or reinforcement machine learning? Select all that apply. A. Allows the AI to identify meaningful patterns. B. Increases the Al motlel Accuracy with predictions. Determines the Al's tone and personality. a Improves the AI's decision -making over time. E. Reduces the At's need for complex alzorithms

Which statements correctly describe the role of big cata in unsupervised, supervisec or reinforcement machine learning? Select all that apply. A. Allows the AI to identify meaningful patterns. B. Increases the Al motlel Accuracy with predictions. Determines the Al's tone and personality. a Improves the AI's decision -making over time. E. Reduces the At's need for complex alzorithms
Which statements correctly describe the role of big cata in unsupervised, supervisec or reinforcement machine learning? Select all that apply. A. Allows the AI to identify meaningful patterns. B. Increases the Al motlel Accuracy with predictions. Determines the Al's tone and personality. a Improves the AI's decision -making over time. E. Reduces the At's need for complex alzorithms

Solution
4.1(250 votes)

Answer

A, B, D Explanation 1. Analyze each statement Evaluate each statement based on the role of big data in different machine learning paradigms. 2. Statement A Big data allows AI to identify meaningful patterns, especially in unsupervised learning where data is used to find hidden structures. 3. Statement B Big data can increase model accuracy with predictions, applicable in supervised learning where large datasets improve training. 4. Statement C Determining AI's tone and personality is not directly related to big data's role in machine learning paradigms. 5. Statement D Big data can improve AI's decision-making over time, relevant in reinforcement learning where data helps refine strategies. 6. Statement E Big data does not reduce the need for complex algorithms; it often requires sophisticated methods to process and analyze large datasets.

Explanation

1. Analyze each statement<br /> Evaluate each statement based on the role of big data in different machine learning paradigms.<br /><br />2. Statement A<br /> Big data allows AI to identify meaningful patterns, especially in unsupervised learning where data is used to find hidden structures.<br /><br />3. Statement B<br /> Big data can increase model accuracy with predictions, applicable in supervised learning where large datasets improve training.<br /><br />4. Statement C<br /> Determining AI's tone and personality is not directly related to big data's role in machine learning paradigms.<br /><br />5. Statement D<br /> Big data can improve AI's decision-making over time, relevant in reinforcement learning where data helps refine strategies.<br /><br />6. Statement E<br /> Big data does not reduce the need for complex algorithms; it often requires sophisticated methods to process and analyze large datasets.
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