CST-570 Machine Learning for Computer Science
This course covers fundamental techniques in statistical machine learning, focusing on computational methods for supervised and unsupervised data analysis. Topics may include classification, regression, dimensionality reduction, and clustering. Students will learn and apply a variety of training models and algorithms. Prerequisite: CST-560 or CST-545.  Please contact Assignment Samurai for help with CST-570 Machine Learning for Computer Science or any other course.  Email: assignmentsamurai@gmail.com  

Leave a Reply

Your email address will not be published. Required fields are marked *