Whois & Analysis for introhive.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.

Artificial intelligence (AI) is intelligence exhibited by machines.

In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.

Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving" (known as Machine Learning).

As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition.

For instance, optical character recognition is no longer perceived as an example of "artificial intelligence", having become a routine technology.

Capabilities currently classified as AI include successfully understanding human speech, competing at a high level in strategic game systems (such as Chess and Go), self-driving cars, intelligent routing in content delivery networks, and interpreting complex data.

Customer relationship management (CRM) is an approach to managing a company's interaction with current and potential future customers.

It tries to analyze data about customers' history with a company and to improve business relationships with customers, specifically focusing on customer retention and ultimately driving sales growth.

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.

Productivity describes various measures of the efficiency of production.

A productivity measure is expressed as the ratio of output to inputs used in a production process, i.e. output per unit of input.

Productivity is a crucial factor in production performance of firms and nations.

Increasing national productivity can raise living standards because more real income improves people's ability to purchase goods and services, enjoy leisure, improve housing and education and contribute to social and environmental programs.

Productivity growth also helps businesses to be more profitable.

There are many different definitions of productivity and the choice among them depends on the purpose of the productivity measurement and/or data availability.