Results 31 to 40 of about 12,687,490 (344)
Data Science and Earth System Science
, 2022 AbstractData-driven science has turned into a fourth fundamental paradigm of performing research. Earth System Science, following a holistic approach in unraveling the complex network of processes and interactions shaping system Earth, particularly profits from embracing data-driven approaches next to observation and modeling.
zu Castell, Wolfgang +8 more
openaire +3 more sources
Teaching Stats for Data Science [PDF]
, 2017 “Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
core +2 more sources
Looking Back to the Future: A Glimpse at Twenty Years of Data Science
Data Science Journal, 2023 This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, data infrastructures, and data education. Considering the
Lili Zhang
doaj +1 more source
Data Science and Big Data in Energy Forecasting [PDF]
, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Martínez Álvarez, Francisco +2 more
core +1 more source
Thoughts on Starting the CODATA Data Science Journal
Data Science Journal, 2023 This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding.
John Rumble
doaj +1 more source
A Data Science Course for Undergraduates: Thinking with Data [PDF]
, 2015 Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly ...
Baumer, Ben
core +3 more sources
Data Science Journal, 2015 Currently, a huge amount of data is being rapidly generated in cyberspace. Datanature (all data in cyberspace) is forming due to a data explosion. Exploring the patterns and rules in datanature is necessary but difficult.
Yangyong Zhu, Yun Xiong
doaj +1 more source
Data Science: Nature and Pitfalls [PDF]
IEEE Intelligent Systems, Volume: 31, Issue: 5, 66-75, 2016, 2020 Data science is creating very exciting trends as well as significant controversy. A critical matter for the healthy development of data science in its early stages is to deeply understand the nature of data and data science, and to discuss the various pitfalls. These important issues motivate the discussions in this article.
arxiv +1 more source
Data Science in Perspective [PDF]
arXiv, 2022 Data and Science has stood out in the generation of results, whether in the projects of the scientific domain or business domain. CERN Project, Scientific Institutes, companies like Walmart, Google, Apple, among others, need data to present their results and make predictions in the competitive data world.
arxiv
Greater data science at baccalaureate institutions [PDF]
, 2017 Donoho's JCGS (in press) paper is a spirited call to action for statisticians, who he points out are losing ground in the field of data science by refusing to accept that data science is its own domain. (Or, at least, a domain that is becoming distinctly
Baumer, Benjamin S. +2 more
core +3 more sources