Citation :

R.Anil Kumar, Shaik ZakirAhamed and S.Syed Basha, "A Survey on Machine Learning," International Journal of P2P Network Trends and Technology (IJPTT), vol. 9, no. 1, pp. 9-12, 2019. Crossref, https://doi.org/10.14445/22492615/IJPTT-V9I1P403

Abstract

In the decades, Machine Learning (ML) has advanced from the undertaking of few PC lovers misusing the likelihood of PCs figuring out how to play amusements, and a piece of Mathematics (Statistics) that only sometimes thought to be computational methodologies, to an autonomous research discipline that has not just given the fundamental base to measurable computational standards of learning techniques, yet in addition has created different algorithms that are normally utilized for content translation, design acknowledgment, and a numerous other business purposes and has prompted a different research enthusiasm for information mining to distinguish concealed regularities or inconsistencies in social information that developing by second. This paper centers around clarifying the idea and development of Machine Learning, a portion of the prevalent Machine Learning algorithms and endeavor to look at three most well known algorithms dependent on some essential ideas. Sentiment140 dataset was utilized and execution of every algorithms as far as preparing time, expectation time and precision of forecast have been recorded and looked at.

Keywords

Machine Learning, Algorithm, Applications.

References

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