What is the role of feedback in machine learning?
An example of an AI chatbot conversation about the importance of feedback in machine learning.
What is the role of feedback in machine learning?
Feedback is crucial in machine learning as it helps models learn from their mistakes and improve accuracy.
Can you explain how feedback is implemented in training models?
Feedback is typically implemented through loss functions that measure the difference between predicted and actual outcomes.
What types of feedback are there in machine learning?
There are two main types: supervised feedback, where the model learns from labeled data, and unsupervised feedback, where it identifies patterns without labels.
How does feedback affect model performance?
Effective feedback can significantly enhance model performance by guiding it towards better predictions and reducing errors.
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