This course focuses on artificial intelligence and machine learning with an emphasis on data handling challenges. The learning outcomes include understanding the mathematics behind big data and machine learning, as well as gaining knowledge in areas such as associative arrays, group theory, entity analysis, structured data analysis, graph theory, bio sequence cross-correlation, and Kronecker graphs. The teaching method includes lectures and demonstrations. This course is intended for individuals interested in artificial intelligence, machine learning, and data handling challenges.
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