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Artificial Intelligence in Data Science: Bridging the Gap Between Theory and Application
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2020
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Abstract
Artificial intelligence (AI) has become a cornerstone of data science, driving innovations in machine learning, deep learning, and predictive analytics. By bridging the gap between theoretical models and practical applications, AI is revolutionizing industries such as healthcare, finance, marketing, and more. This article explores the impact of AI on data science, the latest advancements in AI algorithms, and the challenges and opportunities in applying AI to real-world data problems.
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