Computer Science · Machine Learning
Match List-I (Machine Learning Paradigms) with List-II (Core Descriptions): List-IList-II A. Supervised LearningI. Trains models on labeled input-output data pairs B. Unsupervised LearningII. Discovers hidden structures or clusters in unlabeled data C. Reinforcement LearningIII. Agent learns optimal actions via scalar rewards and punishments D. Semi-supervised LearningIV. Leverages a small amount of labeled data paired with a large amount of unlabeled data Choose the correct answer from the options given below:
Verified Solution4 OptionsUpdated: October 2026👁️1 View
Share:
- 1A-I, B-III, C-II, D-IV
- 2A-III, B-IV, C-I, D-II
- 3A-II, B-I, C-IV, D-III
- 4A-I, B-II, C-III, D-IV✓
Correct answer
A-I, B-II, C-III, D-IV
Download Single Question PDF
Save this question and verified answer as a clean study sheet with live clickable link.
👥
Share with Friends & Study Groups
Challenge your peer aspirants on WhatsApp or Telegram to solve this question!
Online Test Series
Start Free Mock Test →Preparing for Computer Science?
Practice full-length mock tests with real exam timers, instant score analysis, and all-India ranking.
Chapter Practice
Practice Machine Learning MCQs →Want more practice questions on Machine Learning?
Solve complete topic-wise tests with detailed solutions on GkGet.
Related Practice Questions
Recommended practice questions in Computer Science · Machine Learning