INFT 6603 — Advanced Data Science and Machine Learning
This course is a continuation of the INFT 5603 Principles of Data Science course where students will be introduced to advanced topics in this important area of IT. Topics covered in this course will vary due to the ever-changing nature of technology. In general, students will be exposed to information theoretic learning, review of numerical analysis/computation and optimization theory for data science, reinforcement learning, classification methods, recurrent neural networks, clustering methods, feature selection, computer vision for machine learning, deep learning, recommender systems, convergence analysis of dynamical neural networks, explainable artificial intelligence (XAI), quantum machine learning, neuromorphic computing and spiking neural networks, nature inspired algorithms, graph neural networks, developing advanced applications for data science (in computer vision, text mining, natural language processing (NLP), cybersecurity, healthcare/medical, bioinformatics, finance, social media, sentiment analysis, etc.).