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Related Topics
Supervised Learning
This involves training models on a labeled dataset, enabling predictions or classifications based on input data.
Unsupervised Learning
In this paradigm, algorithms learn patterns from unlabeled data to identify structures and relationships within the dataset.
Neural Network and Deep Learning
These models, inspired by the human brain, are used for handling complex tasks like image and speech recognition by learning hierarchical representations.