What are the common challenges faced in machine learning?
An example of an AI chatbot conversation about common challenges in machine learning.
What are the common challenges faced in machine learning?
Some common challenges in machine learning include data quality, overfitting, and model interpretability.
Can you explain what overfitting is?
Overfitting occurs when a model learns the training data too well, capturing noise instead of the underlying pattern.
How can I prevent overfitting in my models?
You can prevent overfitting by using techniques like cross-validation, regularization, and pruning.
What about data quality? Why is it important?
Data quality is crucial because poor quality data can lead to inaccurate models and unreliable predictions.
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