Machine learning


Topic | v1 | created by janarez |
Description

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning.


Relations

uses PyTorch

PyTorch is an open source machine learning library based on the Torch library, used for applications...

relates to Deep learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learnin...

a subtopic of Artificial intelligence (AI)

Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligen...

a tool for Data science

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and s...

relates to Big data

Big data is a field that treats ways to analyze, systematically extract information from, or otherwis...


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