What are some common challenges in machine learning?

What are some common challenges in machine learning?

Some common challenges include data quality, overfitting, underfitting, and model interpretability.

Can you explain overfitting and underfitting?

Overfitting occurs when a model learns noise in the training data, while underfitting happens when it fails to capture the underlying trend.

How can I prevent overfitting?

You can prevent overfitting by using techniques like cross-validation, regularization, and pruning.

What role does data quality play in machine learning?

Data quality is crucial as poor quality data can lead to inaccurate models and unreliable predictions.