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Image of - Data Science Theory | Analysis and Applications | Hardcover
Data Science Theory | Analysis and Applications | Hardcover

Data Science Theory | Analysis and Applications | Hardcover

by Memon

The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows¢ Part I: Data Science: Theory, Concepts, and AlgorithmsThis part comprises five chapters on data Science theory, concepts, techniques and algorithms. ¢ Part II: Data Design and AnalysisThis part comprises five chapters on data design and analysis. ¢ Part III: Applications and New Trends in Data ScienceThis part comprises four chapters on applications and new trends in data science.

Highlights

  • binding-icon

    9780367208615

    ISBN:

  • binding-icon

    Memon

    Author:

  • binding-icon

    325

    Pages:

  • binding-icon

    215 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2020

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹12231

₹15289

The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows¢ Part I: Data Science: Theory, Concepts, and AlgorithmsThis part comprises five chapters on data Science theory, concepts, techniques and algorithms. ¢ Part II: Data Design and AnalysisThis part comprises five chapters on data design and analysis. ¢ Part III: Applications and New Trends in Data ScienceThis part comprises four chapters on applications and new trends in data science.

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