Description
Important:
This course takes place over 2 days. The dates and times are as follows:
- Day 1: Monday, May 23 from 1:30 PM to 4:30 PM AEST
- Day 2: Tuesday, May 24 from 1:30 PM to 4:30 PM AEST
Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.
This course is targeted at NOVICES to Machine Learning. You'll learn:
- Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.
- Know the differences between various core Machine Learning models.
- Understand the Machine Learning modelling workflows.
- Use R and its relevant packages to process real datasets, train and apply Machine Learning models
