Description
This course takes place over 2 days. The dates and times are as follows:
- Day 1: Monday, May 16 from 1:30 PM to 4:30 PM AEST
- Day 2: Tuesday, May 17 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:
- Understand the difference between supervised and unsupervised Machine Learning.
- Understand the fundamentals of Machine Learning.
- Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training.
- Understand the Machine Learning modelling workflows.
- Use R and and its relevant packages to process real datasets, train and apply Machine Learning models
