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L5: Machine learning - Supervised learning
In this module, you will learn how computers can learn from labeled data to make predictions using the supervised learning approach.
In Module 03, we learned about the technique of machine learning. This technique includes three different approaches: supervised learning, unsupervised learning and reinforcement learning. In this module, you will learn how the supervised learning approach works and how systems developed using this approach are changing different domains and society. AI systems developed with the supervised learning approach are widely used in society to assist us in various decision-making processes.
After this module, you will be able to...
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describe how the ‘supervised learning’ approach works.
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describe how to develop applications that follow the ‘supervised learning’ approach.
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describe how previous examples in different domains have used the ‘supervised learning’ approach to support the solution of domain-specific problems.
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describe how bias can arise in supervised learning models and how this could be reduced.
We strongly recommend that you work through Module 05 on a computer in order to make the best use of the learning resources.
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