Machine learning (ML) is increasingly used to handle and interpret complex data in catalysis. ML algorithms can: 1. Predict catalyst performance based on existing data. 2. Optimize reaction conditions by analyzing large datasets. 3. Identify patterns and correlations that are not obvious through traditional analysis. 4. Accelerate the discovery of new catalytic materials.