CS-5644: Machine Learning with Big Data
Description: Basic principles and techniques for big data analytics, including methods for storing, searching, retrieving, and processing large datasets; introduction to basic machine learning libraries for analyzing large datasets; data visualization; case studies with real-world datasets. Not for graduate credit for degrees for MS and PhD degrees in Computer Science and Applications (CSA); MEng degrees in CSA allowed to receive credit.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 10
Average GPA: 3.71 (A)
Strict A Rate (No A-) : 59.15%
Average Withdrawal Rate: 0.00%
| Patrick J Butler | 2023 | 84.6% | 13.0% | 1.5% | 0.0% | 0.9% | 0.0% | 3.75 | 5 |
| Narendran Ramakrishnan | 2020 | 74.6% | 23.2% | 1.0% | 0.6% | 0.7% | 0.0% | 3.68 | 5 |