Why is feedback important in machine learning?
An example of an AI chatbot conversation about the significance of feedback in machine learning.
Why is feedback important in machine learning?
Feedback is crucial in machine learning as it helps models learn from their mistakes and improve accuracy.
Can you give an example of how feedback is used in training models?
Sure! In supervised learning, feedback comes from labeled data, guiding the model to make correct predictions.
What happens if a model doesn't receive feedback?
Without feedback, a model may not learn effectively, leading to poor performance and inaccurate predictions.
How can we provide effective feedback to machine learning models?
Effective feedback can be provided through accurate labeling, regular evaluations, and adjusting parameters based on performance.
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