How do AI algorithms learn from data?

How do AI algorithms learn from data?

AI algorithms learn from data through a process called training, where they identify patterns and make predictions.

Can you explain the training process in more detail?

Sure! During training, algorithms use labeled data to adjust their parameters, minimizing errors in predictions.

What types of data are used for training?

Training data can be structured, like spreadsheets, or unstructured, like images and text, depending on the task.

How do algorithms improve over time?

Algorithms improve by continuously learning from new data, refining their models to enhance accuracy and performance.