Northern Arizona University 3 credits AI
Explores the machine learning models and algorithms that support artificial intelligence technologies through hands-on experimentation that does not demand a technical background. Students explore the fundamentals of techniques from supervised learning algorithms including decision trees, k-nearest neighbors, Naive Bayes, logistic regression, support vector machines, random forests, and neural networks, as well as unsupervised methods including clustering and dimensionality reduction, as a means to understanding the capabilities and limitations of AI. Students work with real-world datasets throughout, practicing the complete modeling pipeline from exploratory data analysis through preprocessing, training, evaluation, and interpretation, preparing for the analysis of a real-world dataset and applying AI to areas of interest. Letter grade only.
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