6 Questions
What is the main focus of the document?
Supervised Learning
Which type of learning is based on input-output pairs for training data?
Supervised Learning
What is the key characteristic of Semi-supervised Learning?
It uses a small amount of labeled data with a large amount of unlabeled data
Which algorithm is specifically mentioned in the document for semi-supervised learning?
Self-training algorithm
What is a common challenge in semi-supervised learning, as per the document?
Curse of dimensionality
In the context of supervised learning, what is mentioned as a potential issue with labeled data?
Data imbalance
The document focuses on supervised and semi-supervised learning. Supervised learning is based on input-output pairs for training data. Semi-supervised learning's key characteristic is using a small amount of labeled data and a large amount of unlabeled data for training. Test your knowledge of these concepts with this quiz.
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