Data Science: Theory, Analysis, and Applications

Data Science: Theory, Analysis, and Applications
ISBN-10
036720861X
ISBN-13
9780367208615
Series
Data Science
Category
Big data
Pages
325
Language
English
Published
2019-10-04
Publisher
CRC Press
Authors
Qurban Ali Memon, Shakeel Ahmed Khoja

Description

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 Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.

Other editions

Similar books

  • Grounding the Cloud: Big Data and the Alphabet of Security
    By Todd D. Lyle

    Book II, Grounding the Cloud: Big Data and the Alphabet of Security channels Thomas Edison as he exemplifies innovation specific to electricity.

  • Modern Data Science with R
    By Benjamin Baumer, Daniel Kaplan, Nicholas J. Horton

    This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.

  • Data Leverage: Unlocking the Surprising Growth Potential of Data Partnerships
    By Christian J. Ward, James J. Ward

    This book has everything you need to make money from data, starting with the DataSmart Method(TM), a four-step process for building your data partnership strategy.

  • Data Science and Visual Computing
    By John Dill, David Kasik, Rae A. Earnshaw

    Visual computing is a set of tools and methodologies that utilize 2D and 3D images to extract information from data. Such methods include data analysis, simulation, and interactive exploration. These are analyzed and discussed.

  • 数据资本时代
    By Thomas Ramge, Viktor Mayer-Schönberger

    本书分为十章,内容包括:重塑未来市场,人类交流与合作,市场与货币,市场的复兴,公司与控制,公司的未来,资本的衰退,反馈效应,工作权益与分配正义,人类的选择.

  • 循序渐进学 Spark
    By 杨磊

    本书旨在用合理的结构和精炼的内容让读者用短的时间掌握Spark技术的核心内容.第1章和第2章分别讲解了Spark的开发环境和编程模型;第3章分析了Spark的工作机制和原理 ...

  • Big Data, Big Challenges in Evidence-Based Policy Making
    By Kathryn Ritcheske

    This book can be used to supplement upper level law school courses as well as courses on public health, economics, political science, environmental studies, and information science.

  • Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop
    By Engineering, National Academies of Sciences, and Medicine

    "On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to ...

  • Big Data Analysis for Bioinformatics and Biomedical Discoveries
    By Taylor & Francis Group

    This book is a practical guide to the nuts and bolts of Big Data, enabling readers to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and ...

  • Managerial Analytics: An Applied Guide to Principles, Methods, Tools, and Best Practices
    By Michael Watson

    Managerial Analytics: An Applied Guide to Principles, Methods, Tools, and Best Practices