Benefits of Machine Learning Integration

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Building models to predict future outcomes based on historical data.
Data mining: Discovering patterns and relationships within large datasets.
Anomaly detection: Identifying unusual or unexpected data points.


Natural language processing: Analyzing and understanding textual data.
Image and video analysis: Processing Phone Number and analyzing visual data.
Common Machine Learning Algorithms Integrated into Statistical Software




Regression: Linear regression, logistic regression, and other regression models for predicting numerical or categorical outcomes.
Classification: Decision trees, random forests, support vector machines, and other classification algorithms for predicting categorical outcomes.
Clustering: K-means clustering, hierarchical clustering, and other clustering algorithms for grouping similar data points.