Skip to Main Content

ECE273

Download as PDF

ECE 273 - TENSOR COMPUTATION FOR MACHINE LEARNING AND BIG DATA

Full Course Title

TENSOR COMPUTATION FOR MACHINE LEARNING AND BIG DATA

Instructor Name(s)

ZHANG

Course Description

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.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

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