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This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, and machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. This reprint strives not only to showcase the prolific applications of machine learning, but also to provide insights into the methodologies and interpretations that underpin these advancements.