Question

define the following terms: a type of machine learning that uses datasets without labeled responses, allowing the model to find patterns and relationships in the data. a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards. a type of machine learning where algorithms are trained on labeled data, meaning the input is paired with the correct output. unsupervised learning supervised learning reinforcement learning

Explanation:

1. Unsupervised learning uses un - labeled data to find patterns and relationships.
2. Reinforcement learning involves an agent learning to make decisions in an environment to maximize cumulative rewards.
3. Supervised learning trains algorithms on labeled data where the input is paired with the correct output.

Answer:

1. Unsupervised Learning: A type of machine learning that uses datasets without labeled responses, allowing the model to find patterns and relationships in the data.
2. Reinforcement Learning: A type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards.
3. Supervised Learning: A type of machine learning where algorithms are trained on labeled data, meaning the input is paired with the correct output.