- PAPUA NEW GUINEA: 4-6/8/26
Course Brief
Machine Learning is becoming increasingly important in the mining industry but understanding the underlying principles learning it in full can take a significant amount of time and specialist study.
This course introduces the core ideas behind Machine Learning in a practical and achievable three-day program. The focus is on understanding how data can be used to improve decisions, rather than on advanced programming.
The term Machine Learning covers a wide range of methods. This course focuses on the essential foundations that must be understood before undertaking more in-depth courses in Machine Learning
Examples are mainly drawn from mineral processing, but the concepts are general and relevant to many areas of engineering. Other professionals from the Mining Industry will also find the course useful.
The following sections will be addressed during this course:
COURSE OUTLINE
- What Machine Learning is (and what it is not)
- Essential Excel skills for data analysis
- Statistics basics
- Interpolation and regression
- Optimisation concepts
- Sampling strategies and local regression
- Introduction to simulation
- Case study: improving profitable mineral recovery in a processing plant
- Introduction to multivariate methods
HOW THE COURSE IS TAUGHT
The course is hands-on and practical, with many worked examples and exercises. Most of the work is done using Microsoft Excel, so no prior programming experience is required. Necessary mathematical concepts are included – however the course is not an in-depth maths course.