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Courses - Spring 2024
Machine Learning
Open Seats as of
02/20/2024 at 10:30 PM
Computing Systems for Machine Learning
Credits: 3
Grad Meth: Reg
Restriction: Must be in the MPS in Machine Learning program.
Programming, software and hardware design and implementation issues of computing systems for machine learning. Topics in the programming/software domain will include: basic Python program structure, variables and assignment, built-in data types, flow control, functions and modules; basic I/O, and file operations. Classes, object-oriented programming and exceptions. Regular expressions, database access, network programming and sockets. Introduction to the Numpy, Scipy and Matplotlib libraries. Topics in the hardware domain include computer architecture, CPUs, single- and multi-core architectures, GPUs, memory and I/O systems, persistent storage, and virtual memory. Parallel processing architectures, multiprocessing and cluster processing.