What are the main challenges in machine learning?

What are the main challenges in machine learning?

Some key challenges in machine learning include data quality, model interpretability, and overfitting.

Can you explain why data quality is so important?

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

What is model interpretability?

Model interpretability refers to the ability to understand how a model makes decisions, which is vital for trust and transparency.

How can we prevent overfitting in our models?

Overfitting can be prevented by using techniques like cross-validation, regularization, and simplifying the model.