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|CS 44000 - Large Scale Data Analytics|
Learning Outcomes: 1. Identify techniques appropriate for solving a data analytics challenge. 2. Load and manipulate data in distributed computing environments. 3. Apply computing paradigms to effectively write efficient and scalable algorithms for data analysis pipelines. Know limitations, design details and design decisions of these algorithms. 4. Apply mixed-precision optimization and parallel learning algorithms to modern machine learning algorithms. 5. Present results in methods appropriate for domain experts.
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