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Data Integration in Data Science and Machine Learning
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What is the primary objective of data integration in the context of data science and machine learning?
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A
To combine data from multiple sources into a single, cohesive dataset
💡 Explanation:
The fundamental goal of data integration in data science and machine learning is to merge data from diverse sources into a unified and comprehensive dataset, enabling comprehensive analysis and modeling.