Concepedia

Abstract

In the current world lots of electronic data is generated in each and every field. These data contains useful information to predict the future. Due to the huge in size, the manual predicting gives a complex task to humans. To overcome this problem, train the machine to predict the future by itself with the help of training and test datasets. To train the machine, various kinds of machine learning algorithms and tools are available. This paper focus on the survey of the few machine learning algorithms and techniques used in many applications and domains in detail.

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