Overview

This 3 days machine learning course in Singapore teaches you various algorithms to build models. The course predominantly covers supervised algorithms.

This course is an introduction to the world of machine learning, a topic that is becoming more and more important, not only for IT professionals and analysts but also for all those scientists and engineers who want to exploit the enormous power of techniques such as predictive analysis, classification, clustering and natural language processing.

Learning Outcome

  • Apply mathematical concepts regarding the most common machine learning problems, including the concept of learnability and some elements of information theory
  • Describe the most important techniques used to preprocess a dataset, select the most informative features, and reduce the original dimensionality
  • Describe the concept of classification algorithms including Decision Trees, Support Vector Machines, Random Forests, Naive Bayes and K Nearest Neighbors
  • Describe the structure of a continuous linear model, focusing on the linear and logistic regression algorithms

Who should Attend?

  • Data Analysts
  • Data engineers
  • Business Analysts
  • Senior Managers
  • Programmers
  • Business Managers
  • Decision Makers
  • Data Scientists

Eligibility Criteria

  • Graduate or High School Diploma
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page


Information is accurate as of 10 June 2019