Supervised machine learning learns from examples with answers. For example: you give a model many input-output pairs, it makes a guess for each input, checks how far off it was from the known answer, and then tweaks itself to do better next time. Do this over and over, and the model discovers a rule that maps inputs to outputs. When the outputs are numbers, it’s called regression; when they’re categories, it’s classification. Well-run supervised projects also report confidenc

Machine Learning (ML) is at the forefront of Computer Science. It refers to a field of artificial intelligence that develops algorithms capable of ‘learning’ patterns within data – numbers, images, text, audio, or even user behaviour. This learning is applied to make predictions ,  or even to generate new results entirely. Instead of being explicitly programmed only with human input, ML models optimise themselves, making them much more suited for complex tasks than traditiona