What are the principal types of machine learning for AI agents?

The correct answer is B. supervised, unsupervised, reinforcement, and deep learning. The four principal types of machine learning used by AI agents are supervised learning, unsupervised learning, reinforcement learning, and deep learning, each addressing different problem domains and data requirements.

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Question

Options

Asupervised, unsupervised, dynamic programming, and Q-learning
Bsupervised, unsupervised, reinforcement, and deep learning
Csupervised, unsupervised, Markov decision process, and Bellman equation
Dsupervised, unsupervised, clustering, and association rules

How the community answered

(25 responses)

B
96% (24)
D
4% (1)

Explanation

The four principal types of machine learning used by AI agents are supervised learning, unsupervised learning, reinforcement learning, and deep learning, each addressing different problem domains and data requirements.

Topics

#machine learning#supervised learning#reinforcement learning#deep learning

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