| Catalog Content |
“This course covers the fundamental concepts and applications of machine learning. Students learn about data preprocessing, supervised and unsupervised learning algorithms, decision trees, regression methods, and model evaluation metrics. They also engage in practical work with advanced techniques such as artificial neural networks, deep learning, convolutional neural networks, image processing, and natural language processing.” |
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