The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the...

• Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
• Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
• Authored by Ivan Idris, expert in python programming and proud...

Metrics are a hot topic. Executive leadership, boards of directors, management, and customers are all asking for data-based decisions. As a result, many managers, professionals, and change agents are asked to develop metrics, but have no clear idea of how to produce meaningful ones. Wouldn’t it be great to have a fast, simple...

After an introduction to...

Software quality assurance has never been more challenging -- nor more...

Business of all sizes have a problem: How do you know—in real time—whether you are earning the profit you need to grow or even just stay in business? And which products or services are doing the “heavy lifting” in contributing to profit? Financial statements tell only part of the story. They are backward looking, for...

• Define solutions that can connect existing systems and newer cloud-based solutions to thousands of thousands of edge devices and...

Metrics and Models in Software Quality Engineering, Second Edition, is the definitive book on this essential topic of software...

Thomas Wilhelm has delivered pen testing training to countless security professionals and now through the pages of this book you can benefit from his years of experience as a...