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--- ai_real_time_learner [2025/05/29 17:01] – [Example 3: Real-Time Fraud Detection] eagleeyenebula
+++ ai_real_time_learner [2025/05/29 17:01] (current) – [Advanced Features] eagleeyenebula
@@ Line 175: / Line 175: @@
 The **Real-Time Learner** system enables a wide array of advanced features for various machine learning applications:
 . **Dynamic Model Evolution**:
-     Update models in response to system feedback in real-time without halting operations.
+       * Update models in response to system feedback in real-time without halting operations.
 . **Large-Scale Data Handling**:
-     Handle vast data streams by splitting it into smaller batches processed incrementally.
+       * Handle vast data streams by splitting it into smaller batches processed incrementally.
 . **Online Machine Learning**:
-     Train models in environments where data arrives continuously or evolves over time, such as IoT, financial services, or supply chain systems.
+       * Train models in environments where data arrives continuously or evolves over time, such as IoT, financial services, or supply chain systems.
-. **Custom Streaming Pipelines**:
-     Create models tailored to specific streaming applications, such as dynamic pricing, recommendation engines, and fraud detection.
+. **Custom Streaming Pipelines**:
+       * Create models tailored to specific streaming applications, such as dynamic pricing, recommendation engines, and fraud detection.
 ===== Use Cases =====