What are some effective AI data optimization techniques?

What are some effective AI data optimization techniques?

Some effective techniques include data pruning, feature selection, and dimensionality reduction.

Can you explain data pruning in more detail?

Data pruning involves removing unnecessary or redundant data to improve model performance and reduce complexity.

What is feature selection and why is it important?

Feature selection is the process of selecting a subset of relevant features for model training, which helps in reducing overfitting.

How does dimensionality reduction work?

Dimensionality reduction techniques, like PCA, transform data into a lower-dimensional space while preserving important information.