Название: Data Science Concepts & Techniques with ApplicationsАвтор: Usman Qamar, Muhammad Summair Raza
Издательство: Springer
Год: 2020
Формат: true pdf/rtf
Страниц: 2017
Размер: 10.2 Mb
Язык: English
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 book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language.