TECH3300 Machine Learning Applications This subject teaches students the theory, principles and practice of designing, programming, applying, and evaluating machine learning models to real-world data. The subject will provide students with practical experience in programming techniques for data science. This necessitates sourcing, storing, and preparing data in order to create models that will process the data to uncover insights of strategic value to organisations. Underpinning this are techniques that pertain to generating meaningful and implementable outcomes using real-world financial, social media, text, image, and speech data.