Data Structures for Machine Learning

Catalog description

This course will cover the design, development, and employment of data structures and algorithms with an emphasis on time-space complexity. Data structure processing and computational processing problems related to the following time-space problems will be explored: constant, logarithmic, cubic, quadratic, polynomial, and exponential. Additionally, students will leverage Bachmann-Landau notation to describe time-space complexity.