Our Machine Learning 2 course helps you build upon your foundational knowledge as you explore advanced machine learning (ML) algorithms and techniques. Explore algorithms, including the random forest algorithm, the gradient boosting algorithm, and the support vector machine algorithm as well as clustering algorithms (including k-means clustering and hierarchical clustering). Also consider neural networks, dimensionality reduction techniques (including principal component analysis), and more. Through practical projects and hands-on exercises, learn how to solve complex problems in diverse domains through the implementation and application of these advanced ML algorithms.

 

Prerequisites

You must have completed our COMP 9721 Machine Learning 1 course.