DSC 611Applied Machine Learning
Computer Science & Mathematics · 3 credits
Description
This course provides an overview of popular algorithms in machine learning. Topics include supervised and unsupervised learning, linear and polynomial regression, clustering, classification algorithms, gradient descent, support vector machines, decision trees, random forests, instance-based learning, neural networks, and genetic algorithms. Pre-requisite: DSC604 Statistics for Data Science
Common questions about DSC 611
What is DSC 611 at LAU?
DSC 611 Applied Machine Learning is a 3-credit course at Lebanese American University (LAU), in the Computer Science & Mathematics department. This course provides an overview of popular algorithms in machine learning.
How many credits is DSC 611?
DSC 611 Applied Machine Learning is worth 3 credits at LAU.