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Parameter Mastery Powers Prediction
Effective machine learning hinges on an iterative training process that identifies optimal parameters for a given function. The model comprises both the software function and its corresponding parameters, crucial for conducting inference or prediction. This duality often leads to confusion regarding licensing, as some may attempt to license code, others data, while some create custom agreements. Such complexities reflect the evolving landscape of data science from 2010 to 2017, a period still relevant today.