The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …

Agile methodologies were introduced in 2001. Since this time, practitioners have applied
Agile methodologies to many delivery disciplines. This article explores the application of …

In this research we explore the current state of chronic diseases in the United States, using
data from the Centers for Disease Control and Prevention and applying visualization and …

Abstract Internet of Things (IoT) offers a seamless platform to connect people and objects to
one another for enriching and making our lives easier. This vision carries us from compute …

In recent years, data science emerged as a new and important discipline. It can be viewed
as an amalgamation of classical disciplines like statistics, data mining, databases, and …

" Carefully distinguishing between big data and open data, and exploring various data
infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and …

The paper investigates the acceleration of t-SNE—an embedding technique that is
commonly used for the visualization of high-dimensional data in scatter plots—using two …

The classification problem is closely related to the clustering problem discussed in Chaps. 6
and 7. While the clustering problem is that of determining similar groups of data points, the …

Our world is becoming ever more data-driven, transforming how business is conducted,
governance enacted, and knowledge produced. Yet, the nature of data and the scope and …

The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …