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All IGI Global Scholarly Journals Shift to Open Access
Following the first conversion of a portion of IGI Global’s hybrid open access/subscription-based journals to gold open access (OA) in 2021, and then again in 2022, IGI Global is pleased to announce that the remainder of their hybrid open access/subscription-based journal collection will officially convert to gold OA beginning January 1st, 2023.
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IGI Global’s New Emerging Topic e-Book Collections
Acquire highly focused and affordable Cutting-Edge Peer-Reviewed Research Content through a selection of 17 topic-focused e-Book Collections discounted up to 90%, compared to list prices. Collection topics include Diversity, Equity, and Inclusion (DEI), Artificial Intelligence, Language Learning, Marketing and Customer Relations, Religious and Indigenous Studies, and more. Hosted on the InfoSci
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Open Access Book (Free Access) - New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091)
The Walmart Corporation and the Lumina Foundation have provided funding to make the publication, New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091), Fully Open Access, completely removing any paywall between researchers in education and the new models for the future of higher education.
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Open Access Book (Free Access) - Handbook of Research on the Global View of Open Access and Scholarly Communications (ISBN: 9781799898054)
Through a Collaboration between IGI Global and the University of North Texas, the Handbook of Research on the Global View of Open Access and Scholarly Communications (ISBN: 9781799898054) has been published as Fully Open Access, completely removing any paywall between researchers of any field, and the latest research on the equitable and inclusive nature of Open Access and all of its complications.
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What is Support Vectors Machine
1.
Support
vector
machine
(SVM) was proposed in 1995 by Cortes and Vapnikto solve problems related to multidimensional classification and regression issues as its outstanding learning performance.
Learn more in: Introduction to Data Science
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Support Vectors Machine
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