- Type Validation
- Level Intermediate
- Time Weeks
- Cost Paid
Practical Data Analytics and Machine Learning
Earners of this badge can identify potential applications for data analytics (DA) and machine learning (ML) in mining and explain the difference between ML models and traditional models for equipment process models. They can describe good practices of ML, develop a ML model for a processing plant operation and utilise a ML model in a mineral processing flowsheet simulator. They can describe use cases for simulations of minerals processing and discuss when ML models should be retrained.
- Type Validation
- Level Intermediate
- Time Weeks
- Cost Paid
Skills
Earning Criteria
-
Attend or view four 90-minute webinars
-
Read written resources and watch pre-recorded videos
-
Complete 60 multiple-choice questions with a pass mark of 100%