machinelearningalgorithms / templates /Test /Test-semi_supervised.html
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{% extends "Test-layout.html" %}
{% block content %}
<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>
<div class="flex flex-col gap-6">
<div class="card p-6">
<h2 class="text-2xl font-semibold text-gray-800 mb-4">Semi-Supervised Techniques</h2>
<div class="flex flex-wrap gap-4">
<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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</div>
</div>
{% endblock %}