What is the role of data in machine learning?

What is the role of data in machine learning?

Data is crucial in machine learning as it helps algorithms learn patterns and make predictions.

Can you explain how data quality affects machine learning models?

Absolutely! High-quality data leads to better model performance, while poor data can result in inaccurate predictions.

What types of data are used in machine learning?

Machine learning uses various data types, including structured data, unstructured data, images, text, and more.

How do you collect data for training machine learning models?

Data can be collected through surveys, sensors, web scraping, and public datasets, among other methods.

What happens if there is not enough data for training?

Insufficient data can lead to overfitting, where the model learns noise instead of the underlying pattern.