Machine learning and data science are revolutionising the information technology industry and the way innovations are impacting our lives. With so much going on around these areas, it is often difficult to assimilate ideas and concepts around them. Additionally, the growing number of tools are overwhelming the these areas. This article discusses a visual mindset towards machine learning, that allows us to gain the best from the subject. One of the key factors that ML is dependent on, is the availability of right data for a project.

Interactive model analysis, the process of understanding, diagnosing, and refining a machine learning model with the help of interactive visualization, is very important for users to efficiently solve real-world artificial intelligence and data mining problems. Dramatic advances in big data analytics has led to a wide variety of interactive model analysis tasks. In this paper, we present a comprehensive analysis and interpretation of this rapidly developing area. Specifically, we classify the relevant work into three categories: understanding, diagnosis, and refinement. Each category is exemplified by recent influential work. Possible future research opportunities are also explored and discussed.