Group members: Arkaan, Farras, Fiqhy
For our Intelligent System Final Project, we decided analyse the use of minimax on a game of connect 4. We decided to choose minimax since it is often used for 1v1 games and connect 4 is a fully observable game.
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There are two ways of learning in machine learning. Supervised and unsupervised learning. In supervised learning the AI is fed with already processed data, there are some things that the AI will already now is right or wrong. Unsupervised learning on the other hand, as its’ name implies, is when an AI is fed raw data. The AI is tasked with processing the data as a whole. Supervised In supervised learning the model is first trained with data that has already been processed, the model will then be trained with the given data. Once the model is trained it is tested with a different dataset. If a model can reliably processes a dataset but cannot reliably process a different dataset, the model is "overfitted" to that specific dataset. Unsupervised Unsupervised learning processes raw data, it is usually used for clustering, representation learning, etc. The model does not know of a clear or predetermined label or category.
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