COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised Learning
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Unsupervised Learning
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Reinforcement Learning
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None of the above
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Detailed explanation-1: -Reinforcement Learning (RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.
Detailed explanation-2: -The three machine learning types are supervised, unsupervised, and reinforcement learning.
Detailed explanation-3: -In-depth guide to machine learning in the enterprise Unsupervised learning: This type of machine learning involves algorithms that train on unlabeled data.
Detailed explanation-4: -Training data is the initial dataset used to train machine learning algorithms. Models create and refine their rules using this data. It’s a set of data samples used to fit the parameters of a machine learning model to training it by example.