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Theoretical Foundation Of Data Science

Vooraankondiging
Theoretical Foundation Of Data Science - Huan, Jun - ISBN: 9780128036556
Prijs: € 81,95 (onder voorbehoud)
Beschikbaarheid: Nog niet verschenen.
Bindwijze: Boek, Paperback
Genre: Databases
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Beschrijving

Theoretic Foundation of Predictive Data Analytics presents the latest in data science, an area that is penetrating into virtually every discipline of science, engineering, and medicine, and is a fast evolving field. Practitioners, researchers, and graduate students often have difficulty in understanding the foundation of data science.

In order to have a deep understanding of data science, a strong understanding of statistical analysis and machine learning is a must. This book introduces the commonly used statistical principles behind many machine learning and data mining algorithms, the connections of those principles, and the connections of those principles to commonly utilized data analytic algorithms.



  • Presents an ideal guide for readers that want to go deep into the basics of statistics and probability and how it applies to data science
  • Illustrates the connection of widely used data analytics methods and statistical and computational principles
  • Presents applied examples from several disciplines including, but not limited to, computer science, engineering and medicine
  • Discusses extensive experimental results using real application datasets to demonstrate the performance of statistical and machine learning techniques

Details

Titel: Theoretical Foundation Of Data Science
auteur: Huan, Jun
Mediatype: Boek
Bindwijze: Paperback
Taal: Engels
Aantal pagina's: 256
Uitgever: Elsevier Science & Technology
NUR: Databases
Afmetingen: 234 x 190 x 0
ISBN/ISBN13: 9780128036556
Intern nummer: 33876347

Biografie (woord)

Professor Jun Huan, Ph.D. is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. He directs the Bioinformatics and Computational Life Sciences Laboratory at KU Information and Telecommunication Technology Center (ITTC).

Dr. Huan works on data science, machine learning, data mining, big data, and interdisciplinary topics including bioinformatics. Dr. Huan serves the editorial board of several international journals including the Springer Journal of Big Data, Elsevier Journal of Big Data Research, and the International Journal of Data Mining and Bioinformatics. He regularly serves on the program committees of top-tier international conferences on machine learning, data mining, big data, and bioinformatics

Extra informatie

This updated and thorough book on data science presents the latest information as it applies to such areas as science, engineering, and medicine, providing a concise review of statistical principles and their connections with data analytics algorithms

Winkelvoorraad

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