Introduction to Machine Learning and Artificial Intelligence

4 units · Undergraduate upper division (100-199)

Lecture, three hours. Requisites: course 100B, Mathematics 33A. Introduction to machine learning and artificial intelligence designed for advanced undergraduate and graduate students. Covers very basic machine-learning algorithms from supervised learning to unsupervised learning. Focus on so-called generative data science explaining the why behind generative data. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data. Digital marketing serves as a practical arena for students to implement the diverse data synthesis algorithms learned. Concurrently scheduled with course C261. P/NP or letter grading.