<p>Lecture, three hours; discussion, one hour. Requisites: courses 403, 413. Limited to Master of Applied Statistics students. Exploration of fundamental concepts in machine learning and artificial intelligence (AI). Overview of the machine learning pipeline and discrete classification techniques such as logistic regression. Investigation of advanced topics including linear models, regularization, hyperparameter tuning, clustering, principal component analysis (PCA), and reinforcement learning. Letter grading.</p>

Statistics

College of Letters and Science

Container 1

Statistics and Data Science

STATS 414 - From Predictive Artificial Intelligence to Generative Artificial Intelligence

From Predictive Artificial Intelligence to Generative Artificial Intelligence

Learn the process of building a robust Machine learning model that has high likelihood of comparable performance on out-of-sample data.

Learn basics of Generative AI and apply generative AI models to real world problems.

General Catalog

From Predictive Artificial Intelligence to Generative Artificial Intelligence

STATS 414

4 units