CS 277: Machine Learning

1 unit
Prerequisites: CS 173 and MATH 239 .
In this course the differences between problems of regression and classification will be stated. The Gradient Descent algorithm will be studies in detail, so its process and parameters can be adjusted properly. The idea behind supervised and unsupervised learning will also be explored and some algorithms in both paradigms will be studied such as decision trees, neural networks, clustering algorithms, and SVMs. At the end a new topic in machine learning, algorithms for explanations, will be presented and discussed. All algorithms studied in the course will have a small project implementation and application. Staff