MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -The three machine learning types are supervised, unsupervised, and reinforcement learning.

Detailed explanation-2: -First, we will take a closer look at three main types of learning problems in machine learning: supervised, unsupervised, and reinforcement learning.

Detailed explanation-3: -Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.

Detailed explanation-4: -In machine learning, there are multiple algorithms that can be used to model your data depending on your use case, most of which fall under 3 categories: supervised learning, unsupervised learning and reinforcement learning.

Detailed explanation-5: -Aside from the agent and the environment, a reinforcement learning model has four essential components: a policy, a reward, a value function, and an environment model.