Whois & Analysis for kirasystems.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.

A system is a set of interacting or interdependent component parts forming a complex or intricate whole.

Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose and expressed in its functioning.

Computer software, or simply software, is that part of a computer system that consists of data or computer instructions, in contrast to the physical hardware from which the system is built.

In computer science and software engineering, computer software is all information processed by computer systems, programs and data.

Computer software includes computer programs, libraries and related non-executable data, such as online documentation or digital media.

Computer hardware and software require each other and neither can be realistically used on its own.

Precision is a description of random errors, a measure of statistical variability.

Accuracy has two definitions:

Risk is the potential of gaining or losing something of value.

Values (such as physical health, social status, emotional well-being or financial wealth) can be gained or lost when taking risk resulting from a given action or inaction, foreseen or unforeseen.

Risk can also be defined as the intentional interaction with uncertainty.

Uncertainty is a potential, unpredictable, and uncontrollable outcome; risk is a consequence of action taken in spite of uncertainty.