Scientific machine learning for knowledge discovery

• Main Author: Siddesh Sambasivam Suseela
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/163595

For centuries, the process of formulating new knowledge from observations has driven scientific discoveries. Moreover, the incorporation of that knowledge has led to several practical applications. With rapid advancements in machine learning, it is natural to question the possibility of automating k...