Glossary

AI Abstraction involves simplifying complex elements by focusing on the key features, mimicking human cognition, and enabling efficient problem-solving and learning in machines.

Data Labeling in Machine Learning involves marking up raw dataset with relevant tags or labels, enabling algorithms to learn from these inputs. This method is crucial for predictive modeling and pattern recognition.

Data Integration is the key process of merging diverse datasets from multiple sources, ensuring accurate and up-to-date information for optimized AI and ML applications.