Author(s): Arshi Naim
The success of any business is based on financial wellness. Therefore, if the financial risks (FR) are reduced or prevented the chances of profitability will increase for the firms. Businesses apply different technological techniques to resolve the issue of FR. In the current scenario the relevance and effective of Machine learning (ML) is greatly realized in all the sectors of businesses. FR is also one of the important areas that have received potential benefits from the applications of ML. Researchers in ML often find difficulty in understanding the concepts and taxonomy of FR. This research paper will facilitate the researchers to correlate the ML types and methods for solving different FR in businesses. A survey is conducted through online medium from Computer Science (CS) specialists in Information Technology (IT) firms to measure their understanding for FR concepts. These CS specialists are asked to apply their critical thinking for the application of the types of ML in solving types of FR in businesses. This study is an empirical research and recommendations for correlation are completely based on observations and findings from the survey.