Trends of Data Science and Applications

This book PDF is perfect for those who love Computers genre, written by Siddharth Swarup Rautaray and published by Springer Nature which was released on 21 March 2021 with total hardcover pages 341. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Trends of Data Science and Applications books below.

Trends of Data Science and Applications
Trends of Data Science and Applications
Author : Siddharth Swarup Rautaray
File Size : 44,8 Mb
Publisher : Springer Nature
Language : English
Release Date : 21 March 2021
ISBN : 9789813368156
Pages : 341 pages
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Trends of Data Science and Applications by Siddharth Swarup Rautaray Book PDF Summary

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

Trends of Data Science and Applications

Trends of Data Science and Applications by Siddharth Swarup Rautaray,Phani Pemmaraju,Hrushikesha Mohanty

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a

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The scientific developments at the end of the past millennium were dominated by the huge increase and diversity of disciplines with the common label “computer science”. The theoretical foundations of such disciplines have become known as theoretical computer science. This book highlights some key issues of theoretical computer science as

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