5 Questions
Which type of machine learning uses labelled training data to predict the output?
Supervised learning
What does the term 'labelled data' mean in supervised learning?
Data that is tagged with the correct output
In supervised learning, what is the role of the training data?
To act as a supervisor for the machine learning model
What is the aim of a supervised learning algorithm?
To find a mapping function between input and output
Which of the following is an example of a real-world application of supervised learning?
Image classification
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.
Test your knowledge of supervised machine learning with this quiz! Explore the fundamentals and applications of this type of machine learning, including training data, prediction, and the role of the supervisor. Challenge yourself and see how well you understand this essential concept in the field of artificial intelligence.
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