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
Question
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
Solution
The primary goal of semi-supervised learning is c. Combine labeled and unlabeled data.
Semi-supervised learning is a machine learning paradigm where both labeled and unlabeled data are used during training. The primary goal is to improve the learning accuracy by using the unlabeled data to enhance the learning process. This is particularly useful when labeled data is scarce or expensive to obtain.
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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
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What is a major benefit of unsupervised learning over supervised learning?
What is a major benefit of unsupervised learning over supervised learning?1 pointExplore the relationship between features and the target.Better evaluates the performance of a built model.Discover previously unknown information about the dataset.Being able to produce a prediction based on unlabelled data.
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