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Machine Learning for Data Science BY Mrs. Manisha Ravindra Parkhe, Mr. Ravindra Ambadas Parkhe, Dr. Vishalakshi H, Dr. Srinivasan Nagaraj

Indo-continental Academic Publishers
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The contribution of surgical data science to identifying intraoperative human errors and adverse events in elective liver surgery: A preliminary study. [PDF]

Ann Hepatobiliary Pancreat Surg
Mekhenane N, Cormi C, Allemang-Trivalle A, Acidi B, Cherqui D, Vibert E, Allard MA.   +6 more
europepmc   +1 more source

Insights into Health Data Science Education: A Qualitative Content Analysis

Rohani N, Gallagher M, Gal K, Manataki A.   +3 more
europepmc   +1 more source

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Democratizing data science through data science training

Biocomputing 2018, 2017
The biomedical sciences have experienced an explosion of data which promises to overwhelm many current practitioners. Without easy access to data science training resources, biomedical researchers may find themselves unable to wrangle their own datasets.
John Darrell, Van Horn, Lily, Fierro, Jeana, Kamdar, Jonathan, Gordon, Crystal, Stewart, Avnish, Bhattrai, Sumiko, Abe, Xiaoxiao, Lei, Caroline, O'Driscoll, Aakanchha, Sinha, Priyambada, Jain, Gully, Burns, Kristina, Lerman, José Luis, Ambite   +13 more
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Is ‘data science’ science?

Advances in Health Sciences Education
In this editorial the editors reflect on issues raised by the special edition of the Journal on data science by asking the question: is data science in health professions education a 'science' as the term is generally understood? A series of criteria for science as a whole are applied to data science and the implications explored in the context of our ...
Rachel H, Ellaway, Patricia, O'Sullivan
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What is Data Science - Introduction to Data Science

2020
Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset of Artificial Intelligence and Deep..Read More...
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Legal aspects of information science, data science, and Big Data ∗

2017
This chapter investigates the limits and criticisms of the existing legal framework and the possible options to provide adequate answers to the new challenges of Big Data processing. In this light, this chapter is divided into three main sections. The first section focuses on the traditional paradigm of data protection and on the provisions, primarily ...
MANTELERO, ALESSANDRO, Vaciago, Giuseppe
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The Science of Data Science

Big Data, 2014
Peter, Fox, James, Hendler
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