Apr 20, 2024  
2022-2023 Graduate Catalog 
    
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DA 622 - Programming for Data Analytics II


Credits 3

Explores techniques used in data analytics: linear regression, binary classification, support vector machines, neural networks, deep learning, and clustering and dimensionality reduction. Focuses on the practical application of these tools and discusses applications of data analytics with a focus on business, health, bioinformatics, OCR, text and web data processing.

Prerequisites
DA 621   or consent of instructor.