Artificial Intelligence I

In this course, students are introduced to the processes of managing, exploring, visualizing and acting on large amounts of data. This course provides an introduction to the methods and theory of artificial intelligence, such as classification, regression, association rules, cluster analysis, neural networks  and recommendation systems. All material covered is reinforced through hands-on experience using state-of-the-art tools to design and execute artificial intelligence workflows. Class examples come from Python and R.

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Machine Learning, Association Mining, Cluster Analysis, Recommender Systems, Neural Networks

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