Machine Learning (DCS 635)

Term: 2023-2024 Fall

Faculty

Murchtricia JonesShow MyInfo popup for Murchtricia Jones

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Brief Bio: Hello all! I am Dr. Murchtricia Jones. The Director of Data Science and Chair of the School of Computing, Applied Sciences, and Engineering. I am so excited to be a part of your educational journey. 

I am a wife and mother of two. I am from St. Croix, USVI, a beautiful Caribbean island. I can be bribed with high-quality chocolate, oxtails, and jollof rice. Haha! 

Description

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.