Wednesday, 25 September 2019

Comparison of Programming Languages for Human Gender Classification

Volume 5 Issue 2 June - August 2017

Survey Paper

Comparison of Programming Languages for Human Gender Classification

G.D.K.Kishore*, 0**
* Research Scholar, Department of Computer Science, Krishna University, Andhra Pradesh, India.
** Assistant Professor and Head, Department of Computer Science, Krishna University, Andhra Pradesh, India.
Kishore, G. D. K., and Reddy, M.B. (2017). Comparison of Programming Languages for Human Gender Classification. i-manager’s Journal on Computer Science, 5(2), 34-39. https://doi.org/10.26634/jcom.5.2.13908

Abstract

Nowadays, the investigation of Human gender classification (Yong et al., 2012; Mahmood et al., 2012) is capable and powerful, of predicting human gender by utilizing statistical tools and methods. There are a few numerical computational tools that fill in as instructive tools and are likewise accessible for business use to contrast different tools. In this paper, statistical tools like Python, R and MATLAB along with their advantages, working environment, features and challenges are discussed. Here, a review on the most important software tools for image classification applications is presented. Additionally, which software tool is best for beginning learners to learn image learn classification with accurate results and for analysing output results perfectly are also discussed.

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