Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention

Many industries working with large amounts of data have recognized the value of machine learning technology. By gleaning insights from this data, organizations are able to work more efficiently or gain an advantage over competitors.

To get the most value from machine learning, this 3 days course on Machine Learning will teach you most of the key machine learning using R. R is particularly suited to learning machine learning due to user friendliness and the powerful RStudio IDE

Course Highlights:
  • What is machine learning
  • Supervised Learning Models
  • Unsupervised Learning Models
  • Neural Network

Learning Outcome

By the end of the training, learners will be able to:
  • Identify appropriate machine learning methods to address the problems and issues
  • Perform data analysis using machine learning methods
  • Draw inferences from the data analysis
  • Using R for machine learning

Who should Attend?

  • Data Scientists
  • Data Analysts
  • Data Engineers

Eligibility Criteria

  • Basic R programming
  • Basic data analytics
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 12 September 2019