How can I improve the performance of my AI model?

How can I improve the performance of my AI model?

There are several strategies you can use, such as optimizing hyperparameters, increasing training data, or using better algorithms.

What are hyperparameters, and how do they affect model performance?

Hyperparameters are settings that you configure before training your model, like learning rate and batch size. They can significantly impact performance.

Can you suggest some techniques for hyperparameter tuning?

Sure! Techniques like grid search, random search, and Bayesian optimization are popular for hyperparameter tuning.

How important is the quality of training data?

The quality of training data is crucial; high-quality, diverse data leads to better model generalization and performance.

What role does feature engineering play in model performance?

Feature engineering helps in selecting and transforming variables to improve model accuracy and interpretability.