About this document
CC06 Group3 by luonggianguyen9a12 is a document available to read on EtoBox.
This project report from the Ho Chi Minh City University of Technology examines the significance of linear algebra in machine learning, focusing on Singular Value Decomposition (SVD) and Principal Component Analysis (PCA). It includes theoretical foundations, case studies, and practical applications in data science, particularly in digital humanities and facial recognition. The report also discusses computational considerations and provides insights into future research directions.
- Author
- luonggianguyen9a12
- Language
- EN