NUS
 
ISS
 
NUS ISS

Machine Learning Applications

Overview

Part of -
Duration
Course Time
Enquiry Please email to iss-blendedlearning@nus.edu.sg. 
A subset of artificial intelligence (AI), machine learning uses data and algorithms to imitate the way that humans learn. While simple rule-based automation is typically used for standardised and predictable processes, machine learning can handle more complex processes. They are also able to learn and improve from experience without being explicitly programmed, leading to greater improvements in accuracy and efficiency. 

In the competitive business landscape of today, machine learning is an increasingly powerful tool in helping organisations enhance their workflows through automation. By taking straightforward automated tasks and layering them in an element of prediction, it can help to solve problems at a speed and scale that cannot be duplicated by human efforts alone. Established cases of machine learning in the industries include fraud detection, medical diagnosis and e-commerce recommendation models. 

This introductory course in machine learning covers fundamental concepts, algorithms and techniques. Learners will learn how to uncover patterns to derive actionable insights. They can also expect engaging hands-on workshops to help them reinforce understanding of the subject matter. As a concluding team project, learners will work as a group to create and train a Neural Network model to classify images. 

Key Takeaways

At the end of the course, learners will be able to: 

● Gain insights on fundamentals machine learning concepts, algorithms and techniques to discover and analyse patterns for actionable outcomes. 

● Learn to use common software tools and libraries found in Machine Learning projects. 

● Build an Image Classifier to classify images; learners have the flexibility to use their own dataset to train their models. 


Structure

● Course duration: 10 weeks (online).

● Learners' time commitment: 6 to 7 hours per week. 

● This course has 7 synchronous live sessions - group activities, discussions, feedback and interactions. 

● Throughout the course, learners are expected to actively contribute to the group activities and are encouraged to apply the knowledge learnt.



Who Should Attend

This course is appropriate for professionals with some level of programming proficiency or knowledge of programming concepts albeit they are not required to know the Python programming language.


Live Sessions

Learners are required to attend the mandatory Live Sessions scheduled (via Zoom) as part of the course requirement. This will help to reinforce learning with the cohort.  Please refer to the schedule below for each class: 

Class 1
16 January – 24 March 2023
● Live Session 1: Mon, 16 Jan 2023, 9:30am - 11:30am*
● Live Session 2: Thu, 9 Feb 2023, 9:30 - 11:30am*
● Live Session 3: Tue, 14 Feb 2023, 9:30 - 11:30am*
● Live Session 4: Fri, 17 Feb 2023, 9:30 - 11:30am*
● Live Session 5: Fri, 3 Mar 2023, 9:30 - 11:30am*
● Live Session 6: Mon, 13 Mar 2023, 9:30 - 11:30am*
● Live Session 7: Mon 20 Mar 2023, 9:30 - 11:30am*

Class 2
6 April – 14 June 2023
● Live Session 1: Thu 6 Apr 2023, 9:30am - 11:30am*
● Live Session 2: Tue 11 Apr 2023, 9:30am - 11:30am*
● Live Session 3: Thu 13 Apr 2023, 9:30am - 11:30am*
● Live Session 4: Wed 3 May 2023, 9:30am - 11:30am*
● Live Session 5: Wed 17 May 2023, 9:30am - 11:30am*
● Live Session 6: Wed 31 May 2023, 9:30am - 11:30am*
● Live Session 7: Tue 6 Jun 2023, 9:30am - 11:30am*

Class 3
4 July – 11 September 2023
● Live Session 1: Tue 4 Jul, 9:30am - 11:30am*
● Live Session 2: Fri 7 Jul, 9:30am - 11:30am*
● Live Session 3: Thu 13 Jul, 9:30am - 11:30am*
● Live Session 4: Wed 2 Aug, 9:30am - 11:30am*
● Live Session 5: Thu 17 Aug, 9:30am - 11:30am*
● Live Session 6: Thu 31 Aug, 9:30am - 11:30am*
● Live Session 7: Tue 5 Sep, 9:30am - 11:30am*

3 October – 11 December 2023
● Live Session 1: Tue 3 Oct, 9:30am - 11:30am*
● Live Session 2: Thu 5 Oct, 9:30am - 11:30am*
● Live Session 3: Fri 13 Oct, 9:30am - 11:30am*
● Live Session 4: Thu 2 Nov, 9:30am - 11:30am*
● Live Session 5: Thu 16 Nov, 9:30am - 11:30am*
● Live Session 6: Mon 27 Nov, 9:30am - 11:30am*
● Live Session 7: Tue 5 Dec, 9:30am - 11:30am*

* All sessions are in Singapore Time (GMT+8).



Fees And Funding

Type of Learners  Course Fee Total course fee payable, including GST
Learners residing in Singapore (SGD) SGD 2500 SGD 2675
Learners residing outside Singapore (USD) USD 1850 USD 1850


Things To Note

● Learners are expected to set aside time for group activities before and beyond the course.

● The NUS-ISS Certificate of Completion will be issued to learners who have met the course requirements successfully. This will include attending all synchronous Zoom sessions and completing the learning activities, workshops and assessments (where applicable). 

● Read the terms and conditions of NUS-ISS Course Registration here.

● Read about NUS-ISS and Learner’s Commitment and Responsibilities here. 

● All classes are subject to confirmation and NUS-ISS will send an acceptance email to learners one week prior to the commencement date.

● All responses to feedback and surveys conducted by NUS-ISS and its partners must be submitted by learners. 

● All trainings and assessments will be delivered by NUS-ISS, as described in the course webpage.  

● For general enquiries and feedback, please feel free to reach out to us via email at iss-blendedlearning@nus.edu.sg.



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