How does AI learn from data?

How does AI learn from data?

AI learns from data through a process called machine learning, where algorithms identify patterns and make predictions.

Can you explain the different types of machine learning?

Sure! There are three main types: supervised learning, unsupervised learning, and reinforcement learning.

What is supervised learning?

Supervised learning involves training an AI model on labeled data, where the correct output is provided for each input.

How does unsupervised learning differ from supervised learning?

Unsupervised learning works with unlabeled data, allowing the AI to find patterns and groupings without predefined outputs.

What role does data quality play in AI learning?

Data quality is crucial; high-quality data leads to better model performance, while poor data can result in inaccurate predictions.