Applied Big Data with Machine Learning. (3-0) 3 Credit Hours

Catalog description

Prerequisite: ISC 2053 , or equivalent, with a grade of C- or better. This course provides an overview of machine learning techniques to explore, analyze, and leverage data. Students will be introduced to tools and algorithms they can use to create machine learning (ML) models that learn from data, and to scale those models up to big data problems. ML concepts covered include neural networks, support vector machines, and random forests. This course emphasizes a focus on the three major steps in the data analysis pipeline: 1) Data collection methods and techniques, 2) Data storing and feature engineering methods, and 3) Data modeling (supervised and unsupervised methods). The language of choice for this course is Python. (Formerly IS 4023. Credit cannot be earned for both IS 4023 and ISC 4023 .) This course has Differential Tuition. Course Fee: ISCA $75.