What are some common machine learning algorithms used for databases?

What are some common machine learning algorithms used for databases?

Some common algorithms include decision trees, random forests, support vector machines, and neural networks.

How do decision trees work in the context of databases?

Decision trees split data into branches based on feature values, making it easy to interpret and visualize.

Can you explain the difference between supervised and unsupervised learning?

Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data.

What are some challenges when applying these algorithms to databases?

Challenges include data quality, handling missing values, and ensuring scalability for large datasets.