About the Course
AI (Artificial Intelligence) has become part of our daily routines, and AI, Machine Learning, Deep Learning, and Neural Networks are commonly used, sometimes interchangeably, in many conversations. This brings confusion to many beginners. This course will help you understand AI technologies and find opportunities to apply AI to problems in your daily life or own organization. You will learn how to build, and train Supervised machine-learning models for regression and binary classification problems.
Myo Thida (Ph.D.)
Myo Thida is a social entrepreneur with a strong belief in Education for reforming a country. With a scholarship from the Ministry of Foreign Affairs, Singapore, she graduated with a bachelor's and master's degree in Engineering from Nanyang Technological University (NTU) in 2005 and 2008. She received her Ph.D. in Computer Vision from Kingston University, the UK, in 2013. Her research interest is in the areas of Computer Vision and Video Analytic. She has published a book on "Contextual Analysis of Videos" and more than five scientific journals in Computer Vision and Machine Learning.
Since the end of 2013, she has been working in the area of training, capacity development, and data analytics. Through her own training institute (iSTAR Institute) and consulting firm (VigorZwe), she has trained a wide range of audiences, starting from university lecturers to members of parliaments. She has worked with Technological universities and Colleges in Myanmar to reform the curriculum and lectured on courses in Programming such as MATLAB, C++, Python and Data Analytics, Data Science, and Machine Learning in Myanmar and Bhutan.
Dr. Myo Thida was Vice Principal of Singapore Myanmar Vocational Training Institute (2014-2017), an ASEAN-US science and technology fellow (2019), and an ASEAN science diplomat (2021).