Training a Machine Learning Model
Tutorials that teach this
- Tutorial Use the Invoice Object Recommendation (IOR) Business Blueprint to Train a Machine Learning Model
- Tutorial Use Service Ticket Intelligence and Postman to Get Solution Recommendations
- Tutorial Train Your First Machine Learning Model Using AutoML in SAP HANA Cloud
- Tutorial Build a House Price Predictor with SAP AI Core using VS Code Toolkit
- Tutorial Use Service Ticket Intelligence and Jupyter Notebook to Classify Service Requests
- Tutorial Use Service Ticket Intelligence and Jupyter Notebook to Get Solution Recommendations
- Tutorial Use Create ML to Train an Image Classification Model
- Tutorial Ingest Live Data into your House Price Predictor with SAP AI Core
- Tutorial Upload Data to Data Attribute Recommendation
Prerequisites
- Concept ML Model Deployment and Activation
- Concept Jupyter Notebook Machine Learning Workflows
- Concept Jupyter Notebook Basics
- Concept OAuth2 Client Credentials Token Retrieval
- Concept Using Free Service Plans on SAP BTP
- Concept Using OAuth2 Bearer Token for Swagger UI Authorization
- Concept Machine Learning Model Confidence Scores for Predictions
- Concept Uploading and Validating Data for Data Attribute Recommendation
- Concept Base64 Binary-to-Text Encoding
- Concept In-Database Machine Learning with SAP HANA
Concepts that build on this
- Concept Creating Configurations and Deployments in SAP AI Core
- Concept Sending Inference Requests to Data Attribute Recommendation
- Concept ML Model Deployment and Activation
- Concept Evaluating Machine Learning Model Performance
- Concept Random Forest Classification with scikit-learn
- Concept ML Model Training and Deployment
- Concept Machine Learning Clustering
- Concept Logging Metrics in SAP AI Core (Tracking API)
- Concept Machine Learning Model Confidence Scores for Predictions
- Concept Personalized Recommendation Inference Types (Next-Item, Similar-Item, Smart-Search, User-Affinity)