Why ML Testing Could Be The Future of Data Science Careers

This article predominantly talks about testing as a distinct career option in data science and machine learning (ML). It gives a brief on testing workflows and process. It also depicts the expertise and top-level skills a tester needs to possess in order to test a ML application. There is a significant opportunity to explore and expand the possibilities of testing and quality assurance into the field of data science and machine learning (ML). Playing around with training data, algorithms and modeling in data science may be a complex yet interesting activity--but testing these applications is no less.