Understand The Difference Between Machine Learning and Deep Learning
Pickl AI
FEBRUARY 7, 2025
Unsupervised Learning Unsupervised learning involves training the algorithm on unlabeled data. The goal is to uncover hidden patterns or structures in the data. Clustering and anomaly detection are examples of unsupervised learning tasks. billion by 2034. Common applications include image recognition and fraud detection.
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