Predictive modeling, supervised machine learning, and pattern classification
Read OriginalThis article provides a comprehensive introduction to pattern classification and supervised machine learning. It explains the core concepts, including the differences between regression and classification, and outlines a typical supervised learning workflow from data collection to model selection. The content serves as a primer for future technical articles on specific algorithms and implementations.
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