Supervised machine learning involves training a model on labeled data, where each input comes with a corresponding correct output. The model learns to map inputs to outputs by identifying patterns in the training data, which it then uses to make predictions on new, unseen data. This approach is commonly used for tasks like classification and regression, making it foundational for many practical AI applications.
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Supervised machine learning involves training a model on labeled data, where each input comes with a corresponding correct output. The model learns to map inputs to outputs by identifying patterns in the training data, which it then uses to make predictions on new, unseen data. This approach is commonly used for tasks like classification and regression, making it foundational for many practical AI applications.
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Thanks for clarifying these topics😊
We want complete playlist for about machine learning.
If you possible to make more videos, we are happy learn the subject. Finally thank you for better explanation sir.
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