We would have come across Machine Learning in our everyday lives, unknowingly – recommended titles to watch on Netflix, or similar products that you can buy on Amazon.
Machine Learning is a branch of Artificial Intelligence, where it enables systems to learn and improve from experience and new data, without being explicitly programmed.
The recent focus on Machine Learning is due to the abundance of data in today’s world. Organisations are now able to glean valuable insights from data being collected – such as when to conduct predictive maintenance before equipment failure, sales forecasting, supply optimisation, and personalised recommendation. These insights would then allow organisations to implement strategies and solutions to stay ahead in its competition.
This applied learning workshop comprises two learning phases:
-
Phase 1 (2 days) prepares you with the foundational skills and knowledge required to get started with Machine Learning development. In this phase, we will explain the various Machine Learning techniques, share use-cases, prepare Machine Learning-ready data, perform modelling and prediction.
- Phase 2 (2 days) focuses on project development facilitation. You will work in team of up to four participants on a real case scenario. A mentor will be assigned to guide and facilitate the progress of your project.
Learning Objectives
At the end of the course, you will be able to:
- Learn the building blocks of Machine Learning solution
- Gather and prepare data for Machine Learning
- Train, evaluate and deploy the model
- Apply Machine Learning on a real use-case or other scenarios in the project (Phase 2).
For effective learning and achieving outcome of this training, all teams shall scope the use-case projects before Phase 2 course commence. You may consult the mentors for your project scope.
Who should attend?
Business analyst, Process owners, IT analyst, IT developer
Entry Requirement
Participants should be comfortable with performing software configuration.
Completion of Introductory Programming Using Python is recommended.
Course logistics
Participants are required to bring along their own laptop installed with Google Chrome browser.
Wireless connection (WIFI) is available at RP.
Certification
Participants will be awarded the Certificate of Attendance by Republic Polytechnic upon meeting 80% of attendance requirement.
| Full Course Fee (Others) |
Singapore Citizens aged 40 & above |
SME-employed Singapore Citizens & SPR |
Singapore Citizens aged below 40 OR Singapore PR |
$1,926.00
|
$192.60
|
$217.80
|
$577.80
|
Note:
*Payment may be made using SkillsFuture Credit.
*Fees reflected are inclusive of GST (Goods & Service Tax).
*From 1 July 2020, Workfare Training Scheme (WTS) and fee subsidy under WTS will cease. WTS will be replaced by Workfare Skills Support Scheme (WSS). For more information on WSS, please refer to
www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html
Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice. The commencement of each course is subject to sufficient number of participants.
All information is accurate at time of publishing.