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Programming Language Support for Implementing Machine Learning Algorithms

Programming Language Support for Implementing Machine Learning Algorithms
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Author(s): Anitha Elavarasi S. (Sona College of Technology, India)and Jayanthi J. (Sona College of Technology, India)
Copyright: 2020
Pages: 20
Source title: Handbook of Research on Applications and Implementations of Machine Learning Techniques
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-5225-9902-9.ch021

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Abstract

Machine learning provides the system to automatically learn without human intervention and improve their performance with the help of previous experience. It can access the data and use it for learning by itself. Even though many algorithms are developed to solve machine learning issues, it is difficult to handle all kinds of inputs data in-order to arrive at accurate decisions. The domain knowledge of statistical science, probability, logic, mathematical optimization, reinforcement learning, and control theory plays a major role in developing machine learning based algorithms. The key consideration in selecting a suitable programming language for implementing machine learning algorithm includes performance, concurrence, application development, learning curve. This chapter deals with few of the top programming languages used for developing machine learning applications. They are Python, R, and Java. Top three programming languages preferred by data scientist are (1) Python more than 57%, (2) R more than 31%, and (3) Java used by 17% of the data scientists.

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