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Statistics Done Wrong

Statistics

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how t

Building Knowledge Graphs

Graph

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities - objects, events, situations, or abstract concepts - and encoding the underlying information. How do you create a k

Distributed Denial of Service (DDoS)

DDoS

Distributed Denial of Service (DDoS) attacks have existed for almost as long as the commercial web itself, and they remain one of the most effective ways to disrupt online services. But, since many of these attacks go undisclosed, industry collaboration on ways to combat them has been slow to emerge. This ebook provides engineers and IT managers wi

Entity-Oriented Search

This open access book covers all facets of entity-oriented search - where "search" can be interpreted in the broadest sense of information access - from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selecte

An Introduction to Machine Learning Interpretability

Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate but also makes their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulato

Operating Systems and Infrastructure in Data Science

In data science, mastering a system environment with its tools and processes is essential to achieve minimum productivity. Feeling alien to an environment, using the wrong tools or combining the right tools in the wrong order can lead not only to effectivity limitations but also yield wrong results. Hence, in this book, besides basic computer knowl

Workplace Software and Skills

Office

Workplace Software and Skills is designed to flexibly support a range of courses covering computer literacy, Microsoft Office, and Google Suite applications. The textbook covers both hard and soft skills that are applicable to a broad range of academic majors and careers. Chapters combine studio learning and guided practice with scaffolded activiti

Modernizing .NET Applications

.NET

.NET is far from dead. Although JavaScript, Go, and Swift have gathered plenty of developer attention, .NET remains a dominant framework. But it hasn't been entirely smooth sailing. With .NET's coupling to Windows environments, .NET apps haven't had access to the bleeding edge of server automation or application deployment. Configuration management

First Semester in Numerical Analysis with Python

Python Analysis

This book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). The authors present Python as an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Th

Information Theory for Data Science

Information theory deals with mathematical laws that govern the flow, representation and transmission of information, just as the field of physics concerns laws that govern the behavior of the physical universe. The foundation was made in the context of communication while characterizing the fundamental limits of communication and offering codes (s