Machine Learning, Data Mining, and Artificial Intelligence.

Catalog description

The course engages current topics in machine learning algorithms, data mining, and artificial intelligence with hands-on projects. Supervised and unsupervised machine learning models are explored from basic regression and clustering to deep learning with neural nets. Working with techniques in data mining on data from NASA and other student-selected sources, students research, gather, clean, train, and analyze the data with appropriate model selection and fine-tuning. Prerequisites: CSCI 242 or DATA 240 and also MATH 210 or DATA 211 with a C or higher in both courses.