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 AI models.

What is feature selection and why should I care?

Feature selection helps in identifying the most relevant variables, improving model performance and reducing complexity.

How often should I evaluate my AI models?

You should evaluate your AI models regularly, especially when new data becomes available or when performance drops.