Machine Learning Unbound with Java

FACULTY DISCUSSANT: Assoc Prof Danny Poo Chiang Choon

STUDENT DISCUSSANT: Mr Sapumal Ahangama


ABSTRACT:

Java is a robust and scalable programming language, which is well suited to large-scale machine learning applications for continuous, high-frequency, high-volume, and multi-dimensional data streams. It outperforms other languages and libraries in terms of portability, customizability, and speed. This teaching seminar will provide you with the overview landscape and techniques for machine learning with Java to transform big data into actionable knowledge. State-of-the-art classification and regression tools such as Distributed Random Forest (DRF) and Deep Neural Networks will also be discussed during hands-on exercises.

BIODATA:

Harry Nguyen Duy Hoang is a PhD Candidate in the Department of Information Systems and Analytics (DISA) at the School of Computing (SoC) at the National University of Singapore (NUS). His research focuses on decision optimization, mobile computing, human-computer interaction and knowledge discovery in healthcare. He received several research awards for his work such as the Hebert A. Simon award at the 12th International Conference on Design Science Research in Information Systems and Technology (DESRIST). He regularly serves as program committee member and reviewer for major conferences and journals in his research areas.