Skip Ribbon Commands
Skip to main content

Course Detail

Top AI Skills to Learn - Machine Learning (Synchronous e-Learning)


The course is to introduce the principles of various fundamental machine learning techniques and their applications. It covers areas ranging from unsupervised learning to supervised learning as well as the various applications of machine learning that may be encountered in industry. Some examples and codes will be given.


Date(s): 27 May 2020 - Virtual Learning
Time: 9:00AM to 5:00PM
Venue: NTU Virtual Learning Environment
Closing Date:
13 May 2020
Course Fee: Standard: S$642.00   View more
Registration fees inclusive of:
  • Digital Learning Resources
  • Prevailing GST


Successful completion of the course will enable students to understand the principles of the classical machine learning methods.


  1. Introduction to machine learning and their applications

  2. Clustering: KNN, Chierarchical clustering

  3. Regression: Linear regression, Kernelized regression

  4. Performance evaluation

  5. Classification: Tree, SVM and Multi-layer perceptron

  6. Deep learning.
Read more


Kong, Wai-Kin, Adams

Dr. Adams Wai Kin Kong received the Ph.D. degree from the University of Waterloo, Canada. Currently, he is an associate professor and the programme director of the Master of Science in Artificial Intelligence at the Nanyang Technological University, Singapore. His papers have been published in leading journals and conferences in his research areas, including TPAMI, TIP, TIFS, TCSVT, Pattern Recognition, CVPR, ICCV, ECCV, IJCAI, ICB and BTAS. One of his papers was selected as a spotlight paper by TPAMI and another was selected as Honorable Mention by Pattern Recognition. With his students, he received best student paper awards in The IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012 and IEEE International Conference on Bioinformatics and Bioengineering, 2013. Dr. Kong received a number of awards for his research results. Currently, he is serving as an associate editor for IEEE Transactions on Information Forensics and Security. He has been working with industry partners, e.g., Rolls Royal, Procter & Gamble, Siemens and BAE systems for industrial research projects. He has developed ten patents. His research interests include pattern recognition, image processing, biometrics, and forensics.

Data/Business/Financial Analyst who wish to gain more insights into machine learning skill sets.

This course is eligible for SSG course fee subsidy, SkillsFuture Credit, and (SEP) Training Allowance


Standard Course Fee S$642.00
Course fee payable after SSG funding, if eligible under various schemes

Cat-A SSG Funded Courses1


Enhanced Training Support for SMEs (ETSS) 2


Mid-Career Enhanced Subsidy (MCES)3


Workfare Training Support (WTS)4

Standard Course Fee $642.00
Course fee payable after funding or subsidy, if eligible under various schemes
Course fee payable after Discount^

Group of 3 pax and above


NTU/NIE Alumni, Staff & Students


NTUC Member

- All fees stated are inclusive of 7% GST
- SkillsFuture Credit can be used to offset course fees payable.
With effect from 1 April 2020, eligible Singaporeans can start using their one-off SkillsFuture Credit top-up (up to S$500 credit), claimable for full range of SkillsFuture Credit-eligible courses offered by PaCE@NTU. For more information, please visit
1 Cat-A SSG Funded Courses - Eligible Singapore Citizens and PRs may enjoy up to 70% of the course fee. For more information, visit
Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singapore Citizens and PRs) may enjoy subsidies up to 90% of the course fee.
For more information, visit
3 Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fee.
For more information, visit

4 Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons with disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the course fee. For more information, visit
- The NTUC Training Fund (SEPs) is applicable for courses under the SkillsFuture Series courses. For more information, visit

^ Discount cannot be used in conjunction with other SSG funding scheme or NTU Alumni Course Credit. Participants are eligible for only ONE of the discount schemes.
Not sure which programme to go for? Use our programme finder
Loading header/footer ...