Course Overview

Domain
Infocomm Technology
Format
Short Course
Duration
2 days
Fee Subsidy
Up to 90% SF Funding

In simple terms, Machine learning (ML) is the fusion of computer science and statistics in computer algorithms, and has become a key asset in today's technology.

From shopper recommender systems to self-driving cars, ML has enabled intelligent solutions that go beyond the capabilities of traditional technological implementations.

By the end of the course, you'll have a solid understanding of the fundamental principles of ML, as well as the ability to differentiate between common types of ML, such as supervised and unsupervised learning. You will also learn how ML is utilised in various applications, including face detection and algorithmic trading.

Additionally, the course will provide you with hands-on experience using an online ML learning environment to solve some interesting problems.

To aid companies in transforming their capabilities through their human capital, and support Singapore’s drive towards becoming a Smart Nation, this course is mapped to the Singapore Economic Development Board’s Singapore Smart Industry Readiness Index:

  • Dimension 10 - Shop Floor Intelligence
  • Dimension 11 - Enterprise Intelligence
  • Dimension 12 - Facility intelligence

Who Should Attend

  • Working professionals in both ICT and non-ICT domains who are interested in getting an exposure to machine learning development
Prerequisites

What You Will Learn

Getting to Know Machine Learning

  • What is Machine Learning?
  • Why does Machine Learning Matter?
  • Popular Applications of Machine Learning

Types of Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforced Learning
  • Deep Learning

Machine Learning in Action

  • Demonstration of Popular Machine Learning Applications
  • Demonstration using Python to Develop Machine Learning Applications

Hands-on with Machine Learning

  • Coding Machine Learning Applications using Jupyter Notebooks in Colab
  • Drag and Drop "Programming" of an ML Prototype in the Python Programming Language

Teaching Team

Soh Cheng Lock, Donny
Soh Cheng Lock, Donny

Associate Professor, Infocomm Technology, Singapore Institute of Technology

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Tan Chek Tien
Tan Chek Tien

Associate Professor, Infocomm Technology, Singapore Institute of Technology

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Schedule

Time Dates
9:00 am - 6:00 pm 20 & 27 October 2023

Certificate and Assessment

A Certificate of Participation will be issued to participants who

  • Attend at least 75% of the course
  • Undertake and pass non-credit bearing assessment during the course

Fee Structure

The full fee for this course is S$1,526.00.

Category After SF Funding
Singapore Citizen (Below 40) S$457.80
Singapore Citizen (40 & Above) S$177.80
Singapore PR / LTVP+ Holder S$457.80
Non-Singapore Citizen S$1,526.00 (No Funding)


Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.

Course Runs

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