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Machine Learning: Intelligent Techniques for Decision Making

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Dates
15 to 19 March 2021

 

Duration
5 Days


Course Overview

It provides a general introduction to using various IT-driven tools, software and techniques for decision making support. The module will start off by describing the decision-making process in businesses today, including the hierarchy of decision-making responsibilities. Machine Learning is not an urban myth, it is also not a scary animal that only data scientist favours.

By learning the basics of decision-making process in the light of machine learning, the chief executives will enjoy a back-to-school thrill. By going through the process of understanding a business problem, identifying the data, tools, and algorithms appropriate to answer the problem, chief executives will find it easy to talk to their CIOs or BI teams on what they really want.

An introduction will be provided to intelligent techniques for decision making, e.g., expert systems, machine learning in-a-box, and visualization of output to make sense of it all and provide a path to take action and measure results. Examples will be drawn from various industry domains and applications.


Topics

  • Creating customer segments
  • Machine Learning ROI
  • Parametric/non-parametric algorithms
  • Support vector machines
  • Identifying intelligent infrastructures
  • Actionable Intelligence with ML
  • ML Program implications and executability
  • Machine Learning workflow


Prerequisites

Knowledge of data visualization and data management is required.


Who should attend?

Executives, CEOs, managing directors or executive vice-presidents in large and medium-sized corporations; senior partners in professional firms.

 

Course Fee

 

International Students

Singapore Citizens and
Permanent
Residents

SkillsFuture Mid-Career Enhanced Subsidy

(Singapore Citizens aged 40 and above)

For more
information,
click here.

Enhanced Training Support for SMEs^

Full course fee

S$ 3000.00

S$ 3000.00

S$ 3000.00

S$ 3000.00

Less: SSG Grant Amount (S$ 2100.00) (S$ 2100.00) (S$ 2100.00)
Nett Course Fee S$ 3000.00 S$ 900.00 S$ 900.00 S$ 900.00
GST (7%) on nett course fee

S$ 210.00

S$ 63.00

S$ 63.00

S$ 63.00

Total Nett Course Fee Payable, including GST S$ 3210.00 S$ 963.00 S$ 963.00 S$ 963.00
Less: Additional Funding if eligible under various schemes

(S$ 600.00)

(S$ 600.00)

Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes

S$ 3210.00

S$ 963.00

S$ 363.00

S$ 363.00

 

Course Leader

Dr. Tan Wee Kek
Senior Lecturer
School of Computing, NUS

To register, kindly download the application form and email to stmi@nus.edu.sg

To enquire, please email to stmi@nus.edu.sg

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