The concept of machine learning involves building predictive and analytical models which are capable of learning continously from data without being explicitly programmed in other to generate data driven insight and result.
- Machine Learning principle creates models using training data, which are then applied to test data which hasn't been seen by the model before.
- These models are then capable of generating data driven result based on the trained model.
Hence, the result of successfully applying machine Learn to analyze data is obtaining a data-driven result which can get better with adding more training data.
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