Q.No 7. Which category of machine learning focuses on maximizing a cumulative rewardthrough sequential decision-making?a. Supervised Learningb. Unsupervised Learningc. Reinforcement Learningd. Semi-supervised Learning

Q.No 1. What is the primary goal of semi-supervised learning?a. Maximize cumulative rewardb. Minimize supervised learning errorsc. Combine labeled and unlabeled datad. Focus on unsupervised feature learning

Decision trees is an example for Supervised Machine Learning Unsupervised Machine Learning Semi-Supervised Machine Learning Reinforcement Learning

Which important class of machine learning algorithms X is defined as follows? X is concerned with how agents take actions in an environment and changing state so as to maximize some notion of cumulative reward. Explanation-based learning Inductive logic programming Deep learning Similarity-based learning Reinforcement learning

Which machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions?(1 Point)Supervised learningUnsupervised learningAll of the aboveNone of the above

Explain supervised, unsupervised and reinforcement learning