About Course
Course Structure
Financial Matters
About Course
Course Objectives
The participant will be able to:• Understand how to frame a problem statement from a data perspective
• Understand the various types of machine learning techniques
• Appreciate the importance of selecting the right features in developing a model
• Understand how models are evaluated and selected.
Course Description
This course provides an overview of machine learning techniques, explains how to frame a problem space from a data perspective and covers the necessary concepts on how to evaluate and choose machine learning models.The course covers the following:
• Understanding data
• Framing the hypothesis
• Feature selection
• Model selection and evaluation
Course Structure
TPG course reference No.
TGS-2021006414
Introduction to Machine Learning (Synchronous e-learning)
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | Introduction to Machine Learning (Synchronous e-learning) | Total course fee |
|---|---|---|
| Full Course fee | $1,744.00 | $1,744.00 |
| Enhanced Training Support for SMEs for Singapore Citizen | $203.20 | $203.20 |
| Enhanced Training Support for SMEs - SPR & LTVP+ | $203.20 | $203.20 |
| SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $203.20 | $203.20 |
| SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $523.20 | $523.20 |
| SkillsFuture Baseline Funding for SPR/LTVP+ | $523.20 | $523.20 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The payment needs to be made upon the application is submitted.
Allowed payment by
The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.