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<h1 class="text-4xl font-bold text-gray-800 mb-6">Semi-Supervised Learning</h1>
<p class="text-gray-600 text-lg mb-8">Semi-supervised learning is a combination of supervised and unsupervised learning. It uses a small amount of labeled data and a large amount of unlabeled data to train a model. This is particularly useful when it is expensive to label data.</p>
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        <h2 class="text-2xl font-semibold text-gray-800 mb-4">Semi-Supervised Techniques</h2>
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            <a href="/generative-models-test" class="algorithm-box">Generative Models</a>
            <a href="/self-training-test" class="algorithm-box">Self-Training</a>
            <a href="/transductive-svm-test" class="algorithm-box">Transductive SVM</a>
            <a href="/graph-based-methods-test" class="algorithm-box">Graph-Based Methods</a>
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