Reinforcement Learning (RL) is a type of Machine Learning where an agent learns by interacting with an environment and receiving rewards or penalties based on its actions. Instead of being…

Unsupervised Learning is a Machine Learning technique where models learn patterns without labeled data.The system is not told what the correct output is—it must discover structure on its own. This…

Supervised Learning is a type of Machine Learning where the model is trained using labeled data — meaning each input has a correct output already known. The goal is for…

Machine Learning (ML) is a subset of Artificial Intelligence where computers learn from data and improve their performance over time without being explicitly programmed. Instead of giving rules manually, you…

Artificial Intelligence (AI) is the ability of machines to perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and decision-making. AI systems analyze…