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Data Scientist Job Change Prediction Using Machine Learning Classification Techniques by Sameer A. Kyalkond; V. Manikanta Sanjay; H. Manoj Athreya; Sudhanva Suresh Aithal; Vishal Rajashekar; B. H. Kushal is a book available to read on EtoBox.

What is Data Scientist Job Change Prediction Using Machine Learning Classification Techniques about?

In this ever-expanding world, each and every industry is highly competitive. Recently, the Artificial Intelligence [AI] technologies are influencing every facet of data science domain. This technology driven-competitive world creates a lot of difficulties for people working in the data science sector by developing a notion of abandoning the data scientist profession. On the other hand, the human expectations aren't matching reality, followed by No Clear Benchmarking in Salary Pay-Outs, Mapping a Data Scientist's Role to Business Goals, and finally, there is a lack of upskilling for Data Science Professionals. These are the causes for the job change in the individuals and as the competition increases, there is always a substitute, henceforth the job security also falls in this competitive market. Different machine learning methods are used to figure out or to forecast the job change for the employees in the firm. This can be observed by the HR and give additional rewards for employee since the employee is an important asset to the company and its development. The synergy of deep learning approaches, machine learning and ensemble methods are utilized. This research work attempts to p

Author

Sameer A. Kyalkond; V. Manikanta Sanjay; H. Manoj Athreya; Sudhanva Suresh Aithal; Vishal Rajashekar; B. H. Kushal

Publisher

SPRINGER VERLAG, SINGAPOR

Published

2022

Language

EN

ISBN

9789811925405

Subjects

Computer Science, Mathematics, Engineering