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Unsupervised Machine Learning (Synchronous e-Learning)

Offered by School of InfoComm Technology

Short Course / 3 days / TGS-2021006416

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees
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Course Information

DISCOVER INSIGHTS IN UNLABELED DATA

  • Reduce the complexity of variables in a dataset through dimensionality reduction techniques
  • Design and apply unsupervised learning techniques to discover insights in a data set which includes:
    • Discover relationships among variables
    • Discover and define clusters of related data points
    • Discover anomalies and outliers
  • Apply network analysis techniques for data points with complex relationships

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Learning Outcomes

  • Reduce the complexity of variables in a dataset through dimensionality reduction techniques
  • Design and apply unsupervised learning techniques to discover insights in a data set which includes:
    • Discover relationships among variables
    • Discover and define clusters of related data points
    • Discover anomalies and outliers
  • Apply network analysis techniques for data points with complex relationships

Course 
Schedule

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Course Date: TBC
Application Period: TBC
Duration: 3 days
Time: 9am to 6pm
Delivery Mode: Synchronous e-Learning
Venue: Online

Please take note that photos and videos may be taken during the course for record and publicity purposes.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Certification

Certification

In-class assessments.


A Certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).


A Certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).

Entry Requirements

  • Applicants should be conversant with basic IT skills and have intermediate programming experience
  • Applicants should preferably have passed GCE ‘O’ Levels course of study

Course Fees

Funding period for this course is from 5 Jul 2020 to 30 Sep 2021.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Enhanced training support for SMEs
For enhanced training support for SMEs, enter SME in the promo code during course application.

Long Term Visit Pass Plus (LTVP+) Holders
Please furnish the following documents to the course administrator to qualify for SSG funding:

  1. Self-sponsored learner (**LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
  2. Co-sponsored learner (##LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

(Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.)

Applicants / Eligibility Fees
Full course fees$1712.00