Human-In-The-Loop Systems -- All You Need To Know

Machine Learning systems have made their way in every industry today, be it medicine, archaeology, shopping, logistics etc. With their increasing use, developers need to make sure that their systems perform well with evolving data, varied geographies and all varieties of customers or end-users. Along with good performance, interpretability and data privacy which have recently gained momentum in machine learning research. As all parameters of a model are optimized using the training data, the model could be thought as a high-level summary of the data. Ensuring good training data is a challenge especially when the task is relatively new in the ML industry.