This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

A guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. The second edition of this book will show you how to use the latest state-of-the-art frameworks in NLP, coupled with Machine Learning and Deep Learning to solve real-world case studies leveraging the power of Python.

This book surveys the changing landscape of data sources, programming languages, software packages, and methods of analysis available today

This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. 

This book provides a series of cross-disciplinary perspectives on text mining and its applications.