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Questions and Answers
Which type of machine learning uses labelled training data to predict the output?
Which type of machine learning uses labelled training data to predict the output?
- Supervised learning (correct)
- Reinforcement learning
- Deep learning
- Unsupervised learning
What does the term 'labelled data' mean in supervised learning?
What does the term 'labelled data' mean in supervised learning?
- Data that is tagged with the correct output (correct)
- Data that is stored in a database
- Data that is sorted alphabetically
- Data that is encrypted for security
In supervised learning, what is the role of the training data?
In supervised learning, what is the role of the training data?
- To confuse the machine learning model
- To provide additional context for the model
- To evaluate the performance of the model
- To act as a supervisor for the machine learning model (correct)
What is the aim of a supervised learning algorithm?
What is the aim of a supervised learning algorithm?
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Which of the following is an example of a real-world application of supervised learning?
Which of the following is an example of a real-world application of supervised learning?
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Study Notes
Supervised Learning
- Supervised Learning: Uses labelled training data to predict the output.
- Labelled Data: Consists of input data and corresponding output values, which are used to train the model.
- Training Data: Provides the model with examples of correct outputs, enabling it to learn the relationships between input data and output values.
- Aim of Supervised Learning Algorithm: To learn a mapping between input data and output values, so it can make accurate predictions on new, unseen data.
- Real-World Application: Image classification, such as identifying objects in images, is an example of a supervised learning application.
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