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Harnessing the Power of Big Data: A Deep Dive into Semi-Supervised Learning Algorithms The digital age has ushered in an era of unprecedented data generation. Every click, every search, every transaction leaves behind a trail of information, collectively forming vast datasets known as big data. While this treasure trove holds immense potential for unlocking insights and driving innovation, its sheer volume presents a significant challenge: the need for labeled data. Traditional machine learning algorithms heavily rely on labeled data, requiring human experts to meticulously tag each data point. This process is time-consuming, expensive, and often impractical for handling the massive scale of big data. Enter semi-supervised learning, a powerful paradigm that bridges this gap by leveraging both labeled and unlabeled...