This topic covers the algorithms and models behind modern artificial intelligence. Graphs are introduced as a structure for representing problems, followed by Dijkstra's algorithm and the A* algorithm for finding shortest paths. Machine learning is then covered in its supervised, unsupervised and reinforcement forms, with deep learning as an extension. You will study artificial neural networks, including the layers they contain and how back propagation is used to train them.
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