Data Science is gaining tremendous popularity in cyber world. Currently It is very active topic and has extensive scope, both in term of theory and applications. It has an enormous effect on improving business productivity and performance. Data science can be defined as an interdisciplinary field involving techniques to collect, store, analyze, manage and publish data.

Machine Learning is one of the core components of its foundation, which addressed the different important challenges of data science by using different innovative machine learning algorithms and methodologies. This special issue focuses on the latest developments in Machine Learning foundations of data science, as well as on the integration between data science and machine learning. We welcome new developments in statistics, mathematics and computing that are relevant for data science from a machine learning perspective, including foundations, systems, innovative applications and other research contributions related to the overall design of machine learning and models and algorithms that are relevant for data science.