Machine Learning Fundamentals

This module covers basic concepts in machine learning and the use of various open source libraries like scikit-learn, TensorFlow, PyTorch, and Keras to build basic machine learning application with perceptron, K nearest neighbours, neural networks, SVMs, decision trees, and unsupervised learning. Student will also be introduced to the basic of Markov decision processes and reinforcement learning.

Machine Learning Fundamentals is a module selected from the Specialist Diploma in Applied Artificial Intelligence. It enables participants to acquire new skills or deepen relevant skills without the need to pursue a full specialist diploma. As this is a stackable course, participants may choose to complete the remaining modules within the validity period, of 2 years, to be awarded the full Specialist Diploma qualification

Click here for more information on the Entry Requirements.

How often do I need to attend the course?

Lessons will be held at RP ACE@Paya Lebar, Lifelong Learning Institute.

Course commences in June

Number of Lessons Duration
Three times/week(weekdays) 6:30pm – 9:30pm

Note: Some lessons will be conducted via E-Learning

Full Course Fee (Others) Workfare Training Scheme (WTS) Singapore Citizens aged 40 & above Singapore Citizens aged 39 & below SME-employed Singapore Citizens & SPR Singapore PR
$715.83
$47.50
$71.58
$214.75
$80.95
$214.75

Note:

•Course fees are accurate as of 1 June 2020, and are subject to annual review.
•SkillsFuture credit approved.
•All fees inclusive of GST.

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 the time of publishing.

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Last updated on 28 May 2020

Need more help?

If you are still unsure about which course to pursue, please contact our Academy for Continuing Education.  

Fees quoted are inclusive of GST. Republic Polytechnic reserves the right to make changes to the course fees and application closing dates without prior notice. The commencement of each course is subject to a sufficient number of participants. All information is accurate at time of publishing.