AI techniques

AI techniques are methodologies and algorithms used to create systems that simulate human intelligence. Key approaches include:

• Machine Learning (ML): Systems learn from data to identify patterns and make predictions without explicit programming.

• Deep Learning: A subset of ML using multi-layered neural networks to process complex data like images and speech.

• Natural Language Processing (NLP): Enables machines to understand, interpret, and generate human language.

• Computer Vision: Allows machines to interpret and analyze visual data from the world.

• Reinforcement Learning: Trains models through trial and error using rewards and penalties.

These techniques power applications like chatbots, recommendation systems, autonomous vehicles, and medical diagnostics, enabling automation, prediction, and intelligent decision-making.