Whois & Analysis for anaconda.com

Machine learning is the subfield of computer science that, according to Arthur Samuel in 1959, gives "computers the ability to learn without being explicitly programmed." Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.

Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or unfeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank and computer vision.

Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991.

An interpreted language, Python has a design philosophy which emphasizes code readability (notably using whitespace indentation to delimit code blocks rather than curly braces or keywords), and a syntax which allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java.

The language provides constructs intended to enable writing clear programs on both a small and large scale.

The open-source model is a decentralized development model that encourages open collaboration.

A main principle of open-source software development is peer production, with products such as source code, blueprints, and documentation freely available to the public.

The open-source movement in software began as a response to the limitations of proprietary code.

The model is used for projects such as in open-source appropriate technologies, and open-source drug discovery.

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD).

Anaconda is the installer for Red Hat Enterprise Linux, Oracle Linux, Scientific Linux, CentOS and Fedora.