Dimensionality reduction is a technique used to organize excessive information and extract only the essential features, making it easier for AI to learn and make predictions efficiently.
AWS enhances customer service by integrating real-time AI responses for complex queries, significantly reducing wait times and improving user experience.
When there’s not enough data for AI to learn from, a technique called “data augmentation” can be a powerful solution. By slightly altering existing data, we can generate new variations that help AI models learn more effectively. This approach is especially useful in fields like image and speech recognition, where diverse examples are crucial for building flexible and accurate systems.
