Statement Arun Kumar
نویسنده
چکیده
Large-scale data analytics using machine learning (ML), popularly known as advanced analytics or “Big Data” analytics, is transforming almost every data-powered application in the enterprise, Web, science, government, and other domains. However, there are still many barriers to broad and successful adoption of advanced analytics. Designing new ML algorithms and faster ML implementations are important issues that have been studied by researchers for a long time, but for most data-powered applications, the real showstopper is a different issue that is often glossed over in research: the end-to-end process of building ML models given raw data is often too painful even for professional analysts, while developers skilled in both general-purpose programming and the latest ML are rare. The goal of my research is to improve the productivity of the users and developers of advanced analytics systems to enable data-powered applications to realize the full potential of advanced analytics. To this end, my work focuses on fundamental research questions at the intersection of data management and ML that address usability, developability, performance, and scalability issues. My approach to solving a problem involves the whole spectrum of algorithm design, theoretical analysis, empirical analysis, building prototype systems, and deploying them in practice.
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