| Enquiry | Please email iss-blendedlearning@nus.edu.sg. |
|---|
Pattern recognition is one of the most important areas of Artificial Intelligence. It is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Pattern recognition systems can be trained from labelled training data through supervised learning and/or unlabelled data through unsupervised learning.
Pattern recognition is widely used across industries to solve many real-world problems such as image processing, speech recognition, data mining and business analytics. There are many pattern recognition techniques available to perform different tasks such as regression, classification and clustering using various statistical and machine learning algorithms.
This course will equip learners with pattern recognition knowledge to help them analyse data more effectively by deriving useful hidden patterns in the data. Learners will also learn how to select and apply the most suitable pattern recognition techniques to solve the given problems and develop pattern recognition systems.
At the end of the course, learners will be able to:
● Model an applied problem as a pattern recognition task.
● Apply deep learnings of advanced pattern recognition to solve real world problems.
● Develop pattern recognition systems using case studies and workshops that are based on industry scenarios (e.g. building a robust diagnostic system for diabetes, detecting defects in a tunnel).
| Type of Learners | Course Fee | Total course fee payable, including GST |
|---|---|---|
| Learners residing in Singapore (SGD) | SGD 1300 | SGD 1417 |
| Learners residing outside Singapore (USD) | USD 950 | USD 950 |
● Learners are expected to set aside time for group activities beyond the live sessions.
● The NUS-ISS Certificate of Completion will be issued to learners who have met the course requirements successfully. This will include attending all synchronous Zoom sessions and completing the learning activities, workshops and assessments (where applicable).
● Read the terms and conditions of NUS-ISS Course Registration here.
● Read about NUS-ISS and Learner’s Commitment and Responsibilities here.
● All classes are subject to confirmation and NUS-ISS will send an acceptance email to learners one week prior to the commencement date.
● All responses to feedback and surveys conducted by NUS-ISS and its partners must be submitted by learners.
● All trainings and assessments will be delivered by NUS-ISS, as described in the course webpage.
● For general enquiries and feedback, please feel free to reach out to us via email at iss-blendedlearning@nus.edu.sg.
