Machine Learning builds the mathematical model (algorithm) to make predictions without explicit programming based on the sample (training) data.
Machine Learning Lifecycle is the process that defines each step that an organization can follow to take advantage of machine learning and artificial intelligence (AI) to achieve practical business value.
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