Machine Learning (DCS 635)
Term: 2026-2027 Fall
Brief Bio: Hello all! I am Dr. Murchtricia Jones. The Director of Data Science and Dean of the School of Computing, Applied Sciences, and Engineering. I am so excited to be a part of your educational journey.
Tue, 12:30 PM - 1:45 PM (8/17/2026 - 11/29/2026) Location: MAIN DEEDS D101
Machine Learning for Data Science course will cover basic machine learning techniques such as classification, regression, dimension reduction, and clustering. Through the introduction of basic ML techniques, students will learn numerous ML methodologies for both supervised and unsupervised learning. Topics include classification techniques, random forests, neural networks, and tree-based models. Dimension reduction techniques for visualization and data analysis will also be covered. This course will then extend to the application and theoretical foundation of deep learning algorithms. Students will use the Python programming language to implement deep learning using Google TensorFlow and Keras.