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Lessons for this topic haven’t been written yet. The objectives below show exactly what the syllabus expects, so you can plan with them in the meantime.
What Cambridge says you should be able to do, in our words. Codes are the topic number plus the objective’s position.
Understand how graphs can be used to aid Artificial Intelligence (AI).
The purpose and structure of a graph. Use A* and Dijkstra's algorithms to perform searches on a graph. Candidates will not be required to write algorithms to set up, access or perform searches on graphs.
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Understand how artificial neural networks have helped with machine learning.
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Understand Deep Learning, Machine Learning and Reinforcement Learning, and the reasons for using these methods.
Understand the categories of machine learning, including supervised learning and unsupervised learning.
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Understand back propagation of errors and regression methods in machine learning.
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