Abstract
Deep learning algorithms have emerged as a powerful tool for predictive analytics, revolutionizing the way data is analyzed and insights are derived. These algorithms, which mimic the workings of the human brain, can process vast amounts of data, identify complex patterns, and make accurate predictions. This article provides an overview of deep learning techniques used in predictive analytics, focusing on their application across various industries such as healthcare, finance, and marketing. The paper also explores the challenges and opportunities of implementing deep learning models in predictive analytics, highlighting key advancements and future directions.
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