Because of new computing technologies, machine learning today is not like machine learning of the past. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence. The idea of machine learning is that a systems can learn from data, identify the patterns then make decision with minimal human intervention. Machine learning algorithms are often categorized as supervised or unsupervised. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information.
The adoption of Machine learning has been widely utilized in many areas of research, such as in the control system, defense system, autonomous vehicles, government, etc. This workshop will cover the principles of machine learning in general, and its implementation in Intelligent defense system and Multi-Agent Coordination. The workshop will also present the application of machine learning for autonomous vehicles and sensor fusion.