Azure Services
- Azure automated machine learning
- Azure machine learning designer
Types of machine learning
- Regression: Use historical data to predict a numerical value
- Classification (Binary, Multi-class): Use historical data with features and labels
- Clustering (Supervised, Unsupervised): Group similar items into clusters
- Deap learning: Deep learning uses a structural of artificial neural networks
Storage in a Neural Network
- Short-term storage for data ingestion and filtering
- Medium-term storage for data processing
- Long-term storage for retrieval of enriched data
- Archival storage for long-term data retention
Storage in an Azure AI Solution
- Landing zones for data ingested from external sources
- Targets for service, application and resource logs and telemetry
- Scalable, low-latency repositories for semi-structured data
- Low-cost, scalable repositories for hot, unstructured data
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