ATI910: Advanced Machine Learning

This course introduces and discusses advanced topics in machine learning. Students will delve into the role of pattern analysis and probabilistic modeling, together with the mathematical techniques that will enable them to be able to solve real-world machine learning tasks: from data to inference. Topics Included: Statistical Machine Learning Theory, Analysis and Evaluation of Statistical Models, Analysis of Data, Supervised Learning - Artificial Neural Networks, Supervised Learning - Kernel Methods, Unsupervised Learning – Clustering, Unsupervised Learning - Topic Modeling, Feature Engineering, Missing Data, Basic Reinforcement Learning, Basic Semi-Supervised Learning.