Pattern Recognition and Machine Learning Systems

NUS-ISS

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Objectives

- Assess and compare the suitability of advanced pattern recognition and machine learning techniques across a range of problem domains- Apply deep learning and other advanced machine learning techniques to solve given problems- Build intelligent systems using deep learning and other advanced pattern recognition techniques- Analyse the results and suggest possible improvements



Who Should Attend

- IT professionals who need to apply pattern recognition and machine learning techniques to develop intelligent systems.- IT professionals who need to assess and compare pattern recognition and machine learning techniques.- Domain specialists and anyone planning to undertake pattern recognition and machine learning projects.




Entry Requirements

It is advisable that participants have previously taken “Problem Solving using Pattern Recognition” or have equivalent knowledge.




Class Schedule

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Tutorial Schedule

NA




Lesson Delivery

NA




Full Fees (before GST)

S$4500.00




Nett Fees payable after SSG Funding



3600


** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Last updated: 12 April 2024

Upcoming Course Dates
TBC

Delivery Mode**
Face-to-Face

Course Code
PRMLS-NF

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)

Type
Short Course

Stacks/ Bundles to
NA

Audit/Graded
Graded

Area of Interest
AI & Machine Learning