Data handling

Artificial intelligence depends on data. She collects it, cleans it, and prepares it for learning. These lessons show how she handles the fuel that drives her.

• Data sources – Where training data comes from.
• Data preprocessing – Cleaning and preparing data for training.
• Dataset splitting – Separating data for training, validation, and testing.