Data is the new oil and unstructured data””especially text, images, and videos””contains a wealth of information. However, due to the inherent complexity in processing and analyzin…
Book by Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 1 file
This book covers the elements involved in creating a text mining pipeline. While analysts will not use every element in every project, each tool provides a potential segment in the…
Book by Fatih Pinarbasi, M. Nurdan Taskiran, 1 file
The successful development and management of information systems and business analytics is crucial to the success of an organization. New technological developments and methods for…
This book is intended for data scientists, data analysts, and data science professionals who want to upgrade their existing skills to implement advanced text analytics using NLP. S…
User experience (UX) professionals have a strong track record of building bridges to other fields and finding ways to utilize whatever data they can gather. Web analytics is one su…
This is a comprehensive book on concepts, algorithms, theories, applications, software, and visualization of data mining and computing. It provides a volume of coherent set of rela…
Those possibilities and many others have generated much interest. Venture capital is flowing to startups as database architects are cool again. Leaders in health care, finance, ins…
If your big data challenge is suited to a graph analytics solution, it is worth enumerating some key features to look for, both from the software and from the hardware platform per…
The Business Demand for Data, Information, and Analytics sets the stage, and is important background for all audiences. It explains how the deluge of data and its accompanying need…
Book by Suliman Hawamdeh, Hsia-Ching Chang, 1 file
The terms data analytics, Big Data, and data science have gained popularity in recent years for a number of good reasons. The most obvious reason is the exponential growth in digit…
Book by Andreas C. Müller & Sarah Guido, 1 file
Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science and is also known…
In this book, I assume that you are familiar with Python programming.In this introductory chapter, I explain why a data scientist should choose Python as a programming language. Th…
We are living in the age of big data, advanced analytics, and data science. The trend of “big data growth” [Laney 2001; CSC 2012; Beyer and Laney 2012; McKinsey 2011; Vesset et al…
In this book, I assume that you are familiar with Python programming.In this introductory chapter, I explain why a data scientist should choose Python as a programming language. Th…