neural-networks-regression

Description: Neural networks for regression use layers of interconnected nodes to predict continuous values.

Key Points:

• Capable of learning non-linear relationships.
• Requires large amounts of data and computational power.
• Can be prone to overfitting.

Applications: Energy consumption forecasting, algorithmic trading, weather prediction.