Executive Education Programmes designed to build capabilities in infocomm and digital business.
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We offer five practice-based graduate programmes focusing on information technology (IT) and data science.
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Your alternative pathway to continuing education without disrupting your career.
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The Blended Learning Programmes provides individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals.
We work with your organisation to provide contexualised workplace training or customised learning experiences for your employees.
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In this webinar, we will introduce basic RL (reinforcement learning) concepts by writing an agent that uses Monte Carlo to learn how to behave in an optimal manner in a given environment.
In this session, we will be using Python to develop the agent. Note: This is a demo-oriented workshop to teach you the basic RL concepts. We assume that you have a working knowledge with at least one programming language.
Pre-requisite: Basic Python programming including numpy and matplotlib
Chuk is with the Advanced Technology Applications Practice for National University of Singapore, Institute of Systems Science (NUS-ISS). His current responsibilities includes developing courseware, and teaching graduate and public courses in enterprise software engineering, software architecture, web technologies and enterprise Java. Prior to joining ISS, Chuk works for Oracle and Sun Microsystems where his main responsibilities includes helping customers and partners across all industries in the APAC region, to develop, size and tune applications deployed to Java EE Application Servers. Chuk has more than 20 years of working experience and more than 30 years of developing and debugging software. His interest includes peer-to-peer networks, application frameworks, Java Virtual Machine and dynamic languages. He keeps himself busy by contributing to various open source projects.