Machine Learning on Azure
This domain covers 15-20% of the AI-900 exam. You'll learn fundamental ML concepts (regression, classification, clustering), understand deep learning and Transformers, and explore Azure Machine Learning workspace capabilities.
Challenges in this domain
| # | Challenge | Key topics |
|---|---|---|
| 05 | Regression in Machine Learning | Predicting numeric values, features vs labels, evaluation metrics |
| 06 | Classification in Machine Learning | Binary vs multi-class, supervised learning, precision/recall |
| 07 | Clustering in Machine Learning | Unsupervised learning, K-Means, customer segmentation |
| 08 | Deep Learning and Transformers | Neural networks, CNNs, attention mechanism, GPT/BERT |
| 09 | Azure Machine Learning Workspace | AutoML, Designer, compute, endpoints, model registry |