Machine Learning Simplified
Machine learning is a subset of artificial intelligence, it is the science of getting computers to act without being explicitly programmed, and is mostly just statistics. Machine learning is used to find patterns in data that you can then make predictions on. It can be subdivided into supervised learning and unsupervised learning or some mixture of both.
Machine learning is a computer program said to learn from experience ‘E’ with respect to some class of tasks ‘T’ and performance measure ‘P’, if its performance at tasks in ‘T’, as measured by ‘P’, improves with experience ‘E’.
— Tom Mitchell
What makes machine learning so amazing ?
The great thing about machine learning is the “magic” component to it. Machine learning can find patterns and make many successful predictions like a persons movie preference, and the expected price of a house. It can do so many useful things like automatically tag faces, diagnose cancer, drive cars, detect fraud, marketing personalization, and voice recognition. There is a great book on machine learning called “Introduction to Machine Learning with Python” if you really want to dig into this subject.
