Software Development: Examining Statistical M...

Software Development: Examining Statistical Machine Learning as a Tool

Author Name : Durga Prasad Roy, Brajveer Singh, Saurabh Bhardwaj, Rohit Vats

Many academics and developers view statistical machine learning as a tool for software development as well as a field of specialised study as its algorithms and approaches continue to advance. Software development has been extensively studied in the past, but the application of statistical machine learning by software engineers has received very less attention. In this study, ten participants worked for five hours to apply statistical machine learning algorithms and techniques to a real-world problem. Eleven researchers who have experience applying statistical machine learning algorithms and techniques to problems involving human-computer interaction are also interviewed. We group the challenges that come up when using statistical machine learning as a tool for software development into three related categories: (1) challenges associated with using statistical machine learning as the need for an exploratory, iterative process, (2) challenges in comprehending how data relate to one another, and how statistical machine learning algorithms behave, and (3) the challenge of assessing the effectiveness of statistical Algorithms and methods for machine learning in the setting a variety of uses. This paper offers a variety of uses. This paper offers crucial new information. these challenges and the requirement for development tools that

assist statistical machine learning applications more effectively crucial new information

Author Keywords: Statistical machine learning, software development.