The University of Alabama 3 credits BAN
Recent advances in artificial intelligence and machine learning have transformed the tools and techniques businesses use to generate value for their customers and stakeholders. As a result, graduates in data-related disciplines must have a solid foundational knowledge of the technologies used to transform tabular, image, and text data into insights. This course surveys predictive modeling techniques for these different types of input data input. It prepares students to leverage these techniques to deliver value for their employers in a data-driven world. Additionally, the course focuses on demonstrating these models' limitations and potential biases so that students can make informed choices when selecting models for a particular use case.
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