Data Science Concepts and Techniques with Applications

von Usman Qamar Muhammad Summair Raza

Preis unbekannt

Buch in deiner Nähe kaufen

oder

Beschreibung

This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:

The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.
The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.
And finally, the third section of the bookfocuses on two programming languages commonly used for data science projects i.e. Python and R programming language.

Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:

The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.
The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.
And finally, the third section of the bookfocuses on two programming languages commonly used for data science projects i.e. Python and R programming language.

Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
Provides details about the fundamental tools and techniques used for data analysis Covers state-of-the-art techniques for data analytics, future research directions and guidance on data analytics Illustrates concepts with simple and intuitive examples, along with step-wise explanations Includes Python and R programming language tutorials for data science Useful advance undergraduate and postgraduate textbook for data science researchers

Autor*in

Usman Qamar

Themen in »Data Science Concepts and Techniques with Applications«

Data Analytics Data Science Decision Science Data Engineering Business Analytics

Stimmen zu »Data Science Concepts and Techniques with Applications«

Details

ISBN: 9789811561337

Verlag: Springer Singapore

Erscheinung: 08.06.2020