Asked by Jasneet Kaur Singh on Jun 10, 2024

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Which learning model allows an AI system to create its own categories of data without labeling those categories?

A) Reinforcement learning
B) Unsupervised learning
C) Artificial learning
D) Supervised learning

Unsupervised Learning

A type of machine learning where the algorithm learns patterns from untagged data without any guidance.

Data Labeling

The process of identifying raw data (such as images, text files, videos) and adding meaningful and informative labels to them, making it easier for machine learning models to understand.

Reinforcement Learning

An area of machine learning focused on how agents ought to take actions in an environment to maximize some notion of cumulative reward.

  • Gain an understanding of different AI learning models and their practical applications.
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Normandi WilliamsJun 15, 2024
Final Answer :
B
Explanation :
Unsupervised learning allows an AI system to create its own categories of data without labeling those categories. Reinforcement learning involves the system receiving feedback as it learns and adjusts its actions. Artificial learning is not a recognized term in this context. Supervised learning involves the system being given labeled data to learn from.