The Ecosystem of Machine Learning Methods Basole, Rahul 2020-12-24T20:13:32Z 2020-12-24T20:13:32Z 2021-01-05
dc.description.abstract Machine learning (ML) is a rapidly evolving field and plays an important role in today’s data-driven business environment. Many digital innovations in domains as diverse as healthcare, banking, energy, and retail are powered and enabled by ML. Examples include search engines, recommendation systems, pattern recognition, computer vision, and natural language processing. A key element in ML innovation is the advancement of the underlying methods, which specify how machines should algorithmically process, derive patterns, and learn from data for a given decisioning task. The speed at which this is happening is exponential, with researchers leveraging and building upon existing building blocks as well as introducing entirely new methods. Given the speed, scale, and complexity, understanding this complex evolving ML method space can be challenging. What methods are core and peripheral to ML? Which methods span task areas? How are ML methods evolving? In this exploratory research paper, I address these questions by (1) framing the ML method space and (2) visualizing the evolving structure of the ML methods ecosystem. The results reveal several foundational ML building blocks, different coupling levels between ML areas, and variable speeds of evolution. The study also provides insights into how digital innovation evolves at an algorithmic level. I discuss the implications of the findings and describe opportunities for future ML ecosystem-focused research.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.711
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Digital Innovation, Transformation, and Entrepreneurship
dc.subject digital innovation
dc.subject ecosystem
dc.subject machine learning
dc.subject visualization
dc.title The Ecosystem of Machine Learning Methods
prism.startingpage 5871
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