Machine Learning | Components of Machine Learning
Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence. Three components of machine learning: The greater variety in the samples you have, the easier it is to find relevant patterns and predict the result. Therefore, we need three components to teach the machine: 1. Data Data Want to detect spam? Get samples of spam messages. The more diverse the data, the better the result. Tens of thousands of rows is the bare minimum for the desperate ones. There are two main ways to get the data — manual and automatic. * Manually collected data contains far fewer errors but takes more time to collect — that makes it more expensive in general. * Automatic approach is cheaper — you're gathering everything you can find and hope for the best. 2. Features When data stored in tables it's simple — features are column names. But what are they if you have 100 Gb of cat pics? We cannot consider each pixel ...