Last edited by Zulugis
Thursday, July 23, 2020 | History

2 edition of Science and technology data. found in the catalog.

Science and technology data.

Science and technology data.

  • 138 Want to read
  • 5 Currently reading

Published by Industry Canada in [Ottawa] .
Written in English

    Subjects:
  • Science and state -- Canada.,
  • Technology and state -- Canada.,
  • Technological innovations -- Canada.

  • Edition Notes

    ContributionsCanada. Industry Canada. Innovation Policy Branch.
    The Physical Object
    Paginationv. :
    ID Numbers
    Open LibraryOL22160264M
    ISBN 100662696875, 0662683994
    ISBN 109780662499985

    Data Science for Business is an ideal book for introducing someone to Data Science. The authors have tried to break down their knowledge into simple explanations. I am skeptical of non-technical Data Science books, but this one works well. In the beginning we are shown the motivations for Data Science and what fields they apply to/5(). Dear Colleagues, "3rd International Conference on Data Science and Applications (ICONDATA'20)", hosted by İstanbul Rumeli University, will be held on June , in cooperation with Istanbul Rumeli University, Yalova University, Bilecik Seyh Edebali University and Muğla Sıtkı Koçman are pleased to share your scientific work based on the datasets at the conference.

    This report presents current policy practice to promote access to publicly funded data for science, technology and innovation, as well as policy challenges for the future. It examines national policies and international initiatives, and identifies. 4, Open Access Books. +, Citations in Web of Science. , IntechOpen Authors and Academic Editors. +, Unique Visitors per Month.

    IntechOpen is a leading global publisher of Journals and Books within the fields of Science, Technology and Medicine. We are the preferred choice of o authors worldwide. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.


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