A Comprehensive Study of Machine Learning Mechanisms on Big data
Mounica Vennapusa1, Srikanth Bhyrapuneni2
1Mounica Vennapusa, Assistant Professor, Department of Information Technology, PACE Institute of Technology & Sciences, (Andhra Pradesh), India.
2Srikanth Bhyrapuneni, Assistant Professor, Department of Information Technology, PACE Institute of Technology & Sciences, (Andhra Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 27 April 2019 | PP: 773-779 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F10990476S219/2019©BEIESP
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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: Both Sciences and Industry are towards a data revolution. And this has led to a complete data of new formats and unparalleled data bases. Such an increase in huge amount of data have given rise to an opportunity for Machine Learning and Bigdata to come concurrently and to develop Machine Learning methods that have the capability to hold present data types and for navigation of large amount of information with minimal or no human intervention. By implementing fast and effective algorithms and information driven models for processing of data, Machine Learning is capable to give faultless results. Today Machine Learning is being vigorously utilized in a wide range of areas than we anticipate. A pure Machine Learning process, the more data provided to the system, the more it can learn from it, returning the results that are looking for, and that’s why it works well with Bigdata. Without it, the Machine Learning can’t keep running at its at most level and this is because of the way that with less information, the machine has less examples to gain from, and subsequently its results may be influenced. This paper gives the survey on applications and challenges of Machine Learning techniques, advanced learning methods towards Bigdata.
Keywords: About Machine Learning, Bigdata, Deep Learning, Neural Networks.
Scope of the Article: Deep Learning