Both Machine Learning (ML) and Data Mining work with data, but their purpose and approach vary:

✅ Machine Learning – Focuses on building models that learn from data and make predictions or decisions.

✅ Data Mining – Focuses on discovering hidden patterns and insights from large datasets.

Similarities:

- Both rely on algorithms.
- Both require high-quality data.
- Both aim to improve decision-making.

Key Difference: ML is future-oriented (predictive), while Data Mining is past-oriented (descriptive).

Understanding these distinctions helps organizations use the right technique for the right problem—driving better outcomes from data. Want to know how businesses leverage both? Explore the full breakdown. https://www.damcogroup.com/blogs/data-mining-vs-machine-learning-understanding-key-differences

#MachineLearning#datamining#artificialintelligence#BIGDATA#BusinessIntelligence