A BRIEF REVIEW OF MACHINE LEARNING ALGORITHMS
Abstract
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without being explicitly programmed. Learning algorithms, in which many of the applications we use on a daily basis. Every time, when searching engine, like Google, is used to search the web, one of the reasons it performs so well is because of the learning algorithm that has learned to rank web pages. That is, we use these popular algorithms on a daily basis in services, such as Google. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically. In this paper, a brief review of various machine learning algorithms has been done which are most frequently used and, therefore, are the most popular ones. Also has been highlighted the merits and demerits of the machine learning algorithms to meet the specific requirement of the application.
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