Advanced – Machine Learning

Course Information

  • 3 Days
Time: 9am to 6pm
Fee: $1872.50 (Inclusive of GST)

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Advanced – Machine Learning

Machine learning is becoming more pervasive in today’s data-driven business environment especially, in analysing massive volumes of data effectively. It is widely understood as an application of artificial intelligence that provides computer systems the ability to learn automatically from past experience without intensive human intervention.

This course introduces you to the essentials of machine learning techniques, including looking for patterns in data, programming application and gaining practical know-how using case studies and through classroom exercises. You will also get to practice the techniques taught using R or Python and work on a practical capstone project on Day 3 to synthesise and put into action what you have learnt.

Topics Covered

  • Introduction to Machine Learning and its Application
  • Introduction to Programming Syntax
  • Regression Analysis
  • Classification Techniques
  • Clustering Techniques
  • Neural Networks
  • Introduction to Text Analytics
  • Capstone Project

Who Should Attend

  • Officers with an interest to go deeper and build on their data analytical skills with machine learning techniques
  • Recommended Entry Requirements: A strong background in statistics, frequent use of data at work including data analysis, and a basic awareness of programming is highly recommended


  • R or Python

Other Information

  • Refreshments and tea breaks will be provided twice daily
  • Participants must achieve 70% for the Applied Learning Assessment and 85% attendance to receive the Certificate of Completion
  • Registration closes 2 weeks before the scheduled class date or when the class is full, whichever is earlier
  • FMG reserves the right to postpone or cancel the class should the minimum class size is not met and participants will be informed accordingly ahead of the scheduled date
  • Learning materials, laptop and software are provided on site