What are some effective session selection strategies for AI training?

What are some effective session selection strategies for AI training?

Effective session selection strategies include random sampling, stratified sampling, and active learning.

Can you explain active learning in more detail?

Active learning involves selecting the most informative data points for training, improving model performance with fewer samples.

What are the benefits of using stratified sampling?

Stratified sampling ensures that all classes are represented proportionally, leading to better model generalization.

How do I implement these strategies in my training process?

You can implement these strategies by using libraries like Scikit-learn for sampling methods and integrating them into your training pipeline.