Humans may not be consistent, but machines deliver in every scenario.
Machine learning gives computer systems the ability to "learn" with data, without being explicitly programmed.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.
Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; 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
Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.
It is the learning that makes the difference. Machine learning enables your business to perform better and make decisions that matter, based on valuable information processed by a sophisticated algorithm.