Machine Learning Definition, working, History, Application, Service to Humanity

What is machine learning?

Application of artificial intelligence ( AI), which helps systems to learn and develop knowledge automatically without being specifically programmed, is machine learning. The focus of machine learning is the creation of computer programs, which can access and use data on their own. In order for learning to identify trends in the data and make appropriate decisions in the future on the basis of the examples we have, the cycle starts with observations or data such as examples, direct experience or guidance.

The main objective is to automatically allow computers to learn and change behavior without human interference or support. But the text is considered a collection of keywords using the classic algorithms of machine learning; instead, an approach based on semantic analysis interpretation imitates man's capability to grasp the significance of a text.

Machine learning allows large data analysis. Although the results are usually quicker, more reliable in order to recognize beneficial possibilities or danger, additional time and money may also be required to train it properly. Machine learning with AI and cognitive technology can make the processing of large quantities of information much more effective.

Arthur Samuel, an American IBMer, and pioneer in computer games and artificial intelligence, invented the word machine learning in 1959. After then The term machine learning started widely used with AI, because by using it and then providing data patterns to the machine. the machine started to be smarter than they earlier were. Now they are enough smarter to recognize the real owner of the machine by recognizing the biometrics of the owner.