Question

in which type of learning does the model learn patterns from data without prior labels?
supervised learning
unsupervised learning
predictive analytics
reinforcement learning
what is reinforcement learning primarily based on?
following a set of instructions

Explanation:

1. In unsupervised learning, models find patterns in data without prior - labeled examples. Supervised learning uses labeled data, predictive analytics is a broader concept that can use both supervised and unsupervised methods in part, and reinforcement learning is about learning through rewards and penalties.
2. Reinforcement learning is primarily based on the agent receiving rewards or penalties for its actions in an environment to learn the best behavior.

Answer:

1. B. Unsupervised Learning
2. None of the provided options (as the correct idea is about rewards and penalties for actions in an environment, and the given option about following a set of instructions is incorrect).