The Role of Visualization in Machine Learning
Visual Analytics is a process supporting the information discovery through a combination of automated analysis methods, interactive visual interfaces, human perception, and reasoning. It is an effective solution to make sense of the data. A possible automatic analysis method is Machine Learning.
You should provide a systematic overview of existing approaches in scientific literature that use visualization in selected Machine Learning approaches.
Starting point(s) for research:
Endert, A., Ribarsky, W., Turkay, C., Wong, B.L.W., Nabney, I.T., Diaz-Blanco, I. and Rossi, F. (2017). The State of the Art in Integrating Machine Learning into Visual Analytics. Computer Graphics Forum, 36(8), pp. 458–486. doi:10.1111/cgf.13092.
Ono, J.P., Castelo, S., Lopez, R., Bertini, E., Freire, J., Silva, C., (2020). PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines, IEEE VIS 2020/IEEE TVCG 2021. arXiv:2005.00160 [cs.HC]