Recall & Review
beginner
What is supervised learning in machine learning?
Supervised learning is a type of machine learning where the model learns from labeled data. It means the input data comes with the correct answers, so the model can learn to predict the output for new data.
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beginner
Define unsupervised learning.
Unsupervised learning is when the model learns from data without labels. It tries to find patterns or groups in the data on its own, like grouping similar items together.
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beginner
What is reinforcement learning?
Reinforcement learning is a type of learning where an agent learns by trying actions and getting rewards or penalties. It learns to make decisions to get the most reward over time.
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beginner
Give a real-life example of supervised learning.
An example is teaching a child to recognize fruits by showing pictures with names. The child learns to identify fruits because they have the correct labels.
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beginner
How does unsupervised learning differ from supervised learning?
Unsupervised learning uses data without answers and finds hidden patterns, while supervised learning uses data with answers to learn how to predict outcomes.
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Which type of machine learning uses labeled data to learn?
What does unsupervised learning mainly do?
In reinforcement learning, how does the agent learn?
Which of these is NOT a type of machine learning?
Which type of learning would be best for grouping customers by buying habits without prior labels?
Explain the three main types of machine learning and give a simple example for each.
How does reinforcement learning differ from supervised and unsupervised learning in terms of feedback?