Whois & Analysis for sandvine.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.

Sandvine Incorporated is a networking equipment company based in Waterloo, Ontario, Canada.

Sandvine network policy control products are designed to implement broad network policies, ranging from service creation, billing, congestion management, and security.

Sandvine targets its products at consumer Tier 1 and Tier 2 networks including cable, DSL, and mobile.

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

A related field is educational data mining.

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Automation or automatic control, is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications and vehicles with minimal or reduced human intervention.

Some processes have been completely automated.

In computer science, real-time computing (RTC), or reactive computing describes hardware and software systems subject to a "real-time constraint", for example from event to system response.

Real-time programs must guarantee response within specified time constraints, often referred to as "deadlines".

The correctness of these types of systems depends on their temporal aspects as well as their functional aspects.

Real-time responses are often understood to be in the order of milliseconds, and sometimes microseconds.

A system not specified as operating in real time cannot usually guarantee a response within any timeframe, although actual or expected response times may be given.