Which of the following best describes supervised learning in machine learning?
Supervised learning involves training a model using labeled datasets where the algorithm learns to map inputs to the correct output labels. Once trained, the model can predict labels for new, unseen data. It is widely used for classification and regression problems in machine learning. Why Other Options are Wrong: b) Clustering data without labels is unsupervised learning, not supervised learning. c) Continuous learning from feedback describes reinforcement learning. d) Interaction with an environment also refers to reinforcement learning. e) Time series prediction is a specific application of supervised learning but does not define it comprehensively.
Which of the following dance forms is NOT a classical dance form?
The compound of a metal found in nature is called:
Which insurance company has acquired 100% stake in Exide Life Insurance Company?
Who are covered in the Banking Ombudsman umbrella?
In which of the following Indian states, Harappan cities have NOT been found?
Ajmer is associated with the Sufi saint:
What is the average temperature of Human body?
Any worker associated with an association or person is paid regular pay, then it is called -
The Simon Commission arrived in India in ______.
Which organization was replaced by the Planning Commission of India?