JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
We are proud to announce the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter. Project Jupyter exists to develop open-source software, open standards…
This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
A STATEMENT OF COMMITMENT BY STM PUBLISHERS TO A ROADMAP TO ENABLE TEXT AND DATA MINING (TDM) FOR NON COMMERCIAL SCIENTIFIC RESEARCH IN THE EUROPEAN UNION
It is back-to-school time, and here are some papers to keep you busy this school year. All the papers are free. This list is far from exhaustive, but these are some important papers in data science and big data. Google Search PageRank - This is the paper that explains the algorithm behind Google search. Hadoop…
For over one hundred years, once a year, families and students, birders and scientists, armed with binoculars, bird guides and checklists take part in the Christmas Bird Count. Audubon and other organizations use data collected in this longest-running wildlife census to assess the health of bird populations - and to help guide conservation action.
The Data Observation Network for Earth (DataONE) is poised to be the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. Supported by the U.S. National Science Foundation, DataONE will ensure preservation and access to multi-scale, multi-discipline, and multi-national science data. DataONE will transcend domain boundaries and make biological data available from the genome to the ecosystem; make environmental data available from atmospheric, ecological, hydrological, and oceanographic sources; provide secure and long-term preservation and access; and engage scientists, land-managers, policy makers, students, educators, and the public through logical access and intuitive visualizations.
The Scientific Drilling Database (SDDB) is the repository for data from operations of the International Scientific Drilling Program (ICDP) and associated projects. It is operated by GeoForschungsZentrum Data Centre and by ICDP's Operational Support Group (OSG). To
B. Schaefermeier, T. Hanika, и G. Stumme. Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ACM, (ноября 2019)
M. Stubbemann, T. Hanika, и G. Stumme. Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings, том 12080 из Lecture Notes in Computer Science, стр. 496--508. Springer, (2020)
J. Kanter, и K. Veeramachaneni. Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, стр. 1--10. IEEE, (2015)