Machine learning for data quality algorithms includes:Anomaly detection algorithms like Isolation Forest, LOF, and SVM.Data cleansing algorithms include decision trees, K-Nearest Neighbors, and regular expressions (RegEx).Data integration algorithms include clustering algorithms (e.g., K-Means, Hierarchical clustering) and entity resolution.Predictive modeling, such as random forests and gradient boosting machines.Natural language processing.