CS3491 Lecture : machine learning (1)
Document Summary
Learning: in the real world, we are surrounded by humans who can learn everything from their experiences with their learning capability, capability, and we have computers or machines which work on our instructions. A machine learning system learns from historical data, builds the prediction models, and whenever it receives new data, predicts the output for it. The accuracy of predicted output depends upon the amount of data, as the huge amount of data helps to build a better model which predicts the output more accurately. Machine learning has changed our way of thinking about the problem. Machine learning uses data to detect various patterns in a given dataset. It can learn from past data and improve automatically. It is a data-driven technology: machine learning is much similar to data mining as it also deals with the huge amount of the data.
