WeiHong Chin

Chair: Takenori Obo

Title: Introduction to Machine Learning

Department of Mechanical Systems Engineering

Tokyo Metropolitan University, Japan

Talk Abstract：

The field of machine learning, which can be described briefly as enabling computers to make accurate predictions using past experiences, has recently shown a remarkable development with the aid of the rapid increase in computer storage capacity and processing power. Machine learning methods have been widely used in bioinformatics, robotics, business analysis with many other disciplines. In this lecture, I will walk you step-by-step into the fundamental of Machine Learning. I will explain some popular machine learning algorithms and show its application using Python.

Vita：

Wei Hong Chin completed his B.E. (Hons.) degree in Robotics and Automation from the Multimedia University, Malaysia in 2011. He received the Master of Computer Science degree from the University of Malaya, Kuala Lumpur, Malaysia, in 2015 and the Ph.D. degree from the Tokyo Metropolitan University, Tokyo, Japan, in 2019. He is currently an assistant professor in the Department of Systems Design of Tokyo Metropolitan University. His current research interests include biologically-inspired robot navigation, lifelong machine learning, biologically-inspired robot mapping, and multimodal learning. He has published more than 20 refereed journal and conference papers in the interest research area. He has served as the session chair of ICIRA 2019 and WCCI 2020.

Invited Lecture：