An Insight on Machine Learning Algorithms and its Applications
R. P. Ram Kumar1, Sanjeeva Polepaka2, Lazarus S F3, Dasari Vamsi Krishna4
1R. P. Ram Kumar, Professor, Department of CSE, Malla Reddy Engineering College (A), Secunderabad (Telangana), India.
2Sanjeeva Polepaka, Associate Professor, Department of CSE, Malla Reddy Engineering College (A), Secunderabad (Telangana), India.
3Lazarus S F, B.Tech., Department of CSE, Malla Reddy Engineering College (A), Secunderabad (Telangana), India.
4Dasari Vamsi Krishna, B.Tech., Department of CSE, Malla Reddy Engineering College (A), Secunderabad (Telangana), India.
Manuscript received on 07 September 2019 | Revised Manuscript received on 16 September 2019 | Manuscript Published on 26 October 2019 | PP: 432-436 | Volume-8 Issue-11S2 September 2019 | Retrieval Number: K106909811S219/2019©BEIESP | DOI: 10.35940/ijitee.K1069.09811S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine Learning (ML) furnishes the ability of insights on automatic recognizing patterns and determining the prediction models for the structured and unstructured data even in the absence of explicit programming instructions. Today, the impact of Artificial Intelligence (AI) has grown up to several heights, ranging from Life sciences to the Management techniques. The integration of ML led to reduce or eliminate the errors in the prediction, classification and simulation models. The objective of the paper is to represent the ML objectives, explore the various ML techniques and algorithms with its applications in the various fields.
Keywords: Machine Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Reinforcement Learning.
Scope of the Article: Machine Learning