Results 41 to 50 of about 8,919,237 (294)

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., Horton, Nicholas J., McNamara, Amelia   +2 more
core   +3 more sources

ChatGPT for Teaching and Learning: An Experience from Data Science Education [PDF]

, 2023
ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g., programming, mathematics, finance,
arxiv   +1 more source

Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects [PDF]

Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 136 (November 2018), 28 pages, 2020
The trustworthiness of data science systems in applied and real-world settings emerges from the resolution of specific tensions through situated, pragmatic, and ongoing forms of work. Drawing on research in CSCW, critical data studies, and history and sociology of science, and six months of immersive ethnographic fieldwork with a corporate data science
arxiv   +1 more source

Big-Data-Driven Materials Science and its FAIR Data Infrastructure [PDF]

, 2019
This chapter addresses the forth paradigm of materials research -- big-data driven materials science. Its concepts and state-of-the-art are described, and its challenges and chances are discussed.
A Agrawal, A Gulans, A Jain, A Jain, A Rahman, A Seko, A Siebes, A Ziletti, AH Larsen, AK Singh, AP Bartók, AP Bartók, BJ Alder, BJ Alder, BJ Alder, BR Goldsmith, C Draxl, C Draxl, CE Calderon, Claudia Draxl, D Lazer, DL Donoho, EJ Candro, EJ Candès, EJ Candès, ER Scerri, F Faber, F Herrera, G Kresse, GE Hinton, GE Hinton, IJ Nelson, IY Zhang, J Enkovaara, J Pearl, J Pizzi, J Saal, JC Slater, JC Slater, JC Slater, JC Slater, JC Slater, JH Friedman, K Hansen, K Hansen, K Lejaeghere, K Reuter, KF Garrity, KT Schütt, L Hedin, LM Ghiringhelli, LM Ghiringhelli, LM Ghiringhelli, M Atzmueller, M Rupp, MD Wilkinson, MJ Setten van, MT Yin, N Metropolis, Nature editorial, NV Chawla, P Blaha, P Hohenberg, P Pyykkö, R Ouyang, R Tibshirani, S Curtarolo, S Lorenz, S Lorenz, TB Blank, V Blum, VL Moruzzi, W Duivesteijn, W Kohn, Y Zhang   +74 more
core   +3 more sources

Head CT deep learning model is highly accurate for early infarct estimation

Scientific Reports, 2023
Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive mixed ...
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev   +20 more
doaj   +1 more source

Opinionated practices for teaching reproducibility: motivation, guided instruction and practice [PDF]

, 2021
In the data science courses at the University of British Columbia, we define data science as the study, development and practice of reproducible and auditable processes to obtain insight from data. While reproducibility is core to our definition, most data science learners enter the field with other aspects of data science in mind, for example ...
arxiv   +1 more source

Activities of the Polar Environment Data Science Center of ROIS-DS, Japan

Data Science Journal, 2022
The Polar Environment Data Science Center (PEDSC) is one of the centers of the Joint Support-Center for Data Science Research (DS) of the Research Organization of Information and Systems (ROIS), which was established in 2017.
Akira Kadokura, Masaki Kanao, Hironori Yabuki, Yoshimasa Tanaka, Koji Nishimura   +4 more
doaj   +1 more source

ICSU and the Challanges of Data and Information Management for International Science

Data Science Journal, 2013
The International Council for Science (ICSU) vision explicitly recognises the value of data and information to science and particularly emphasises the urgent requirement for universal and equitable access to high quality scientific data and information ...
Peter Fox, Ray Harris
doaj   +1 more source

Defining data science: a new field of inquiry [PDF]

arXiv, 2023
Data science is not a science. It is a research paradigm. Its power, scope, and scale will surpass science, our most powerful research paradigm, to enable knowledge discovery and change our world. We have yet to understand and define it, vital to realizing its potential and managing its risks. Modern data science is in its infancy.
arxiv