Why is training data important for machine learning?

Why is training data important for machine learning?

Training data is crucial because it helps the model learn patterns and make predictions. Without quality data, the model can't perform well.

What happens if the training data is biased?

If the training data is biased, the model will likely produce biased results, leading to unfair or inaccurate predictions.

How can I ensure my training data is diverse?

You can ensure diversity by including a wide range of examples from different demographics, scenarios, and conditions in your dataset.

What are some common sources of training data?

Common sources include public datasets, web scraping, user-generated content, and synthetic data generation.