Ravendracroma22 May, 2024Education
Machine Learning (ML) involves training algorithms to recognize patterns in data and make predictions or decisions without explicit programming. Fundamentals include supervised learning (using labeled data), unsupervised learning (finding hidden patterns in unlabeled data), and reinforcement learning (learning through trial and error). Key concepts are data preprocessing, model training, evaluation, and deployment.
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