Advances in Data Science Book [PDF] Download

Download the fantastic book titled Advances in Data Science written by Ilke Demir, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Advances in Data Science", which was released on 03 December 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Advances in Data Science by Ilke Demir PDF

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.


Detail About Advances in Data Science PDF

  • Author : Ilke Demir
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Total Pages : 374 pages
  • ISBN : 3030798917
  • PDF File Size : 45,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Advances in Data Science

Advances in Data Science
  • Publisher : Springer Nature
  • File Size : 45,8 Mb
  • Release Date : 03 December 2021
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This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks,

Advances in Data Science: Methodologies and Applications

Advances in Data Science: Methodologies and Applications
  • Publisher : Springer Nature
  • File Size : 48,7 Mb
  • Release Date : 26 August 2020
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Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has

Recent Advances in Data Science

Recent Advances in Data Science
  • Publisher : Springer Nature
  • File Size : 44,9 Mb
  • Release Date : 28 September 2020
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This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were

Advances in Data Science

Advances in Data Science
  • Publisher : John Wiley & Sons
  • File Size : 54,9 Mb
  • Release Date : 09 January 2020
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Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of

New Advances in Statistics and Data Science

New Advances in Statistics and Data Science
  • Publisher : Springer
  • File Size : 21,5 Mb
  • Release Date : 17 January 2018
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This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians

Machine Learning Paradigms

Machine Learning Paradigms
  • Publisher : Springer
  • File Size : 46,8 Mb
  • Release Date : 16 March 2019
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This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’

Advances in Artificial Intelligence, Computation, and Data Science

Advances in Artificial Intelligence, Computation, and Data Science
  • Publisher : Springer
  • File Size : 48,8 Mb
  • Release Date : 14 July 2022
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Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement

Data-Driven Science and Engineering

Data-Driven Science and Engineering
  • Publisher : Cambridge University Press
  • File Size : 26,7 Mb
  • Release Date : 05 May 2022
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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.