Results 1 to 10 of about 6,287,873 (311)
Advances in Theoretical and Mathematical PhysicsCan machine learning help discover new mathematical structures? In this article we discuss an approach to doing this which one can call "mathematical data science". In this paradigm, one studies mathematical objects collectively rather than individually, by creating datasets and doing machine learning experiments and interpretations. After an overview,
Michael R. Douglas, Kyu-Hwan Lee
openaire +2 more sources
CoRR, 2015 Data science is gaining more and more and widespread attention, but no consensus viewpoint on what data science is has emerged. As a new science, its objects of study and scientific issues should not be covered by established sciences. Data in cyberspace have formed what we call datanature.
Yangyong Zhu, Yun Xiong
openaire +2 more sources
Data Science: Measuring Uncertainties
Entropy, 2020 With the increase in data processing and storage capacity, a large amount of data is available [...]
Carlos Alberto de Braganca Pereira +2 more
doaj +1 more source
Interdisciplinary Integration and Curricular Innovation in Data Science Degree Programs: An Empirical Study of Eight U.S. iSchools [PDF]
Nongye tushu qingbao xuebao[Purpose/Significance] The confluence of digital transformation and the Fourth Industrial Revolution has driven the emergence of data science as an interdisciplinary field. Data science leverages structured and unstructured data to discover knowledge and
LIU Han
doaj +1 more source
Visualization in data science [PDF]
IEEE Computer Graphics and Applications, 2019 This Special Issue of IEEE Computer Graphics and Applications highlights six papers from the Symposium on Visualization in Data Science (VDS) held in Berlin, Germany in October 2018. VDS brought together hundreds of domain scientists and methods researchers (including visualization, usability and HCI, data management, statistics, machine learning, and ...
Adam Perer, Shixia Liu
openaire +2 more sources
Building Data Science Infrastructures and Infrastructural Data Science
Harvard Data Science Review, 2021 Xiao-Li Meng
doaj +1 more source
Procedia Computer Science, 2016 10 pages, 4 figures, International Conference on Computational Science (ICCS 2016)
Robert J. Brunner, Edward J. Kim 0003
openaire +2 more sources
Abstract Advances in neural sensing technology are making it possible to observe the olfactory process in great detail. In this paper, we conceptualize smell from a Data Science and AI perspective, that relates the properties of odorants to how they are sensed and analyzed in the olfactory system from the nose to the brain.
Vivek Agarwal +3 more
openaire +2 more sources
Data science and data analytics in life science research
Artificial Intelligence in the Life Sciences, 2023 Jürgen Bajorath
doaj +1 more source
Intersections between Information Science and Big Data
Em QuestãoThe aim of this work is to identify the interrelationships between Big Data and Information Science based on a literature review of scientific communications indexed in the Scopus and Web of Science databases ...
Joel Perozo-Vasquez +2 more
doaj +1 more source