Graduate Certificate in Pattern Recognition Systems - NUS-ISS

pattern recognition  The objective behind pattern recognition algorithms is to provide a reasonable answer for all possible data and to classify input data into Pattern recognition in AI involves using machine learning algorithms to learn patterns in data and make predictions based on those patterns

Pattern Recognition in Computer Science is fundamentally the translation of machine learning By mimicking the human brain's capability to associate past Pattern Recognition Pattern recognition in problem solving is key to determining appropriate solutions to problems and knowing how to solve certain types of

ML is a feature which can learn from data and iteratively keep updating itself to perform better but, Pattern recognition does not learn Aims & Scope Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision,