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Ioannis Pitas (AUTH)
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This lecture addresses the challenge to explain the AI science basics using only High school Mathematics. Luckily enough, it has been proven to be a successful and very interesting undertaking. The lecture covers the following topics in detail: definition of AI science, Data and Vectors, Clustering, Classification, Neural Networks, Computer Vision and Natural Language Processing. Of course the treatment would not be complete without reference to some subtle notions, e.g., knowledge and abstraction. Finally, the relation of AI science, society and the environment are overviewed.
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