  Visual analytics systems combine machine learning or other analytic
techniques with interactive data visualization to promote sensemaking and
analytical reasoning. It is through such techniques that people can make sense
of large, complex data. While progress has been made, the tactful combination
of machine learning and data visualization is still under-explored. This
state-of-the-art report presents a summary of the progress that has been made
by highlighting and synthesizing select research advances. Further, it presents
opportunities and challenges to enhance the synergy between machine learning
and visual analytics for impactful future research directions.
