Machine learning (ML) is a technique used in artificial intelligence where engineers train algorithms to learn patterns in large amounts of data. Based on what they learn, algorithms can perform tasks, such as marking emails as spam (email filtering) or recognizing letters and numbers when checks are scanned at ATMs (computer vision).
Unlike most conventional forms of development, machine learning doesn’t rely on engineers explicitly programming rules and behaviors into the algorithms. Instead, the algorithms use mathematical and statistical techniques to learn behaviors solely from data.
Machine learning can broadly be broken down into the following paradigms:
Data science is an area of study that focuses on organizing, analyzing, and extracting insights from large data sets (big data) using...
A data store (or datastore) is a central location for storing and managing sets of data, such as in a database or file system.