| Learning outcomes: Recognise anomalies in datasets used in ML (comprehension) | |||||||
|---|---|---|---|---|---|---|---|
| Skill-tree skills: BDA1.1 BDA4.1 BDA4.2 BDA5.1.1 | |||||||
| Keywords: evaluate | |||||||
|
Applications of AI for Anomaly Detection | ||||||
|
Learning with structured data | ||||||
|
12 Important Model Evaluation Metrics for Machine Learning Everyone Should Know (Updated 2026) | ||||||
| Key | |||||||
| Introductory level | |||||||
| Intermediate level | |||||||
| Advanced level | |||||||
| Online | |||||||
| In person | |||||||