ECE 273 - TENSOR COMPUTATION FOR MACHINE LEARNING AND BIG DATA

Tensors have been increasingly used in data-intensive fields such as artificial intelligence and quantum computing. This course covers the notations, optimization and statistical methods of tensor computation, and their applications in machine learning (mainly deep learning) and quantum computing.

Prerequisites: Solid background in linear algebra and statitics/probability, basic programing skills.

ECE 273

26 / 30 Enrolled

TENSOR COMPUTATION FOR MACHINE LEARNING AND BIG DATA

Zheng Zhang 3.9

T R

12:30 PM - 13:45 PM

91.5% A