What are the best practices for profiling in AI?

What are the best practices for profiling in AI?

Best practices for profiling in AI include data quality assessment, feature selection, and model evaluation.

Can you explain why data quality is so important?

Data quality is crucial because it directly impacts the accuracy and reliability of the AI model's predictions.

What techniques can I use for feature selection?

Techniques for feature selection include recursive feature elimination, LASSO regression, and tree-based methods.

How often should I evaluate my model?

You should evaluate your model regularly, especially after significant changes in data or model architecture.