Data science and machine learning (ML) are often used interchangeably, but they are distinct fields with unique purposes, skill sets, and applications. Understanding their differences—and how they complement each other—is essential for anyone involved in data-driven decision-making. This article provides a detailed comparison of data science and machine learning, highlights their practical applications, and explores their growing synergy in modern industries.
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