Machine learning offers advanced tools for data analysis in catalysis. It can handle large datasets, identify complex patterns, and make accurate predictions. Techniques like neural networks and support vector machines can enhance the precision of data analysis, leading to more reliable results and faster discovery of new catalysts.
