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Real Time Complexities of Research on Machine Learning Algorithm: A Descriptive Research Design


Dr. N. Krishna Kumar, B. Supraja, B.S. Hemanth Kumar, U. Thirupalu, G. Prudhvi
Pages: 13-24
ISBN: 978-93-5834-614-5


Recent Research Trends in Computer Science (Volume -1)

Recent Research Trends in Computer Science
(Volume - 1)

Abstract

The aim of the descriptive research study was to know the real time complexities of machine learning algorithms in the contemporary scenario. The machine learning algorithms plays a crucial role to predict the things of future in an accurate manner. There are huge numbers of complexities of machine learning which makes the model inaccurate. Therefore, there is a need to assess the problems of machine learning algorithms. There are varieties of problems like: data cleaning, data over fitting and under fitting, poor data quality, identification of right algorithm and understanding the outcome of the model, therefore there are variety of problems which will come when we are trying to run a machine learning algorithm. Therefore, it is evident from the analysis that majority of the respondents answered in a different manner regarding the variety of the problems of various machine learning algorithms as machine learning algorithms are having possibility of predicting in advance with respect to any sort of issue. The data analysis has done through collecting primary data sources from various respondents of Andhra Pradesh and majority of the respondents are belongs to graduates and post graduates. The analysis it is new in the contemporary phenomena, which gives clear idea about machine learning algorithms and its complexities.

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