Kumar Sambhav, Research Computing, NUS Information Technology, on 13 October 2021
Some of the most effort-intensive tasks within the financial services and applications have been managing assets, evaluating levels of risk, calculating credit scores, and even approving loans. The amount of data that has to be scoured, read and understood is humongous and humanly impossible and even if it is done with extensive care, it might not fetch proper results. Machine Learning models thus come in handy for such tasks as, instead of us humans doing the processing, we let computer programs handle it for us.