How Machine Learning (ML) Works
Machine Learning works by allowing computers to learn patterns from data and make predictions or decisions without explicit programming. This video breaks down the ML workflow in simple steps—data collection, preprocessing, model selection, training, validation, and deployment. You’ll learn how algorithms analyze data, adjust internal parameters, and improve accuracy over time. Real-world examples help you understand how ML models recognize images, detect spam, translate languages, and more. Whether you're new to ML or strengthening your fundamentals, this guide gives a clear explanation of how machine learning actually functions behind the scenes.
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