Do you have any question about this SAP term?
Component: CEC-MKT-ML
Component Name: Machine Learning
Description: A field which displays the machine learning use case for which the jobs are configured.
Key Concepts: Machine learning is a type of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. A machine learning scenario is a specific type of AI application that uses machine learning algorithms to analyze large amounts of data and make predictions or decisions. The CEC-MKT-ML Machine Learning Scenario is a component of the SAP Cloud Platform that enables users to create and deploy machine learning models. How to use it: The CEC-MKT-ML Machine Learning Scenario can be used to create and deploy machine learning models for predictive analytics, forecasting, and other AI applications. To use the component, users must first create a machine learning model using the SAP Cloud Platform's Modeler Studio. Once the model is created, users can deploy it to the CEC-MKT-ML Machine Learning Scenario and use it to make predictions or decisions based on the data provided. Tips & Tricks: When creating a machine learning model for the CEC-MKT-ML Machine Learning Scenario, it is important to ensure that the data used is accurate and up-to-date. Additionally, users should take advantage of the platform's built-in features such as automated hyperparameter tuning and model selection to ensure that their models are optimized for accuracy. Related Information: For more information on the CEC-MKT-ML Machine Learning Scenario, please refer to the SAP Cloud Platform documentation. Additionally, there are many online resources available that provide tutorials and best practices for creating and deploying machine learning models.