Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy
Clinical Text Mining
This book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial ch...
DevOps in Practice
You hear it a lot: DevOps is not just about tools, but also about changing company culture. But just how does an organization firmly rooted in traditional software development go about making that change? This in-depth report shows how two large organizations, Nordstrom and Texas.gov, moved from long-established software development models to the c...
Boundary Value Problems, Weyl Functions, and Differential Operators
This book presents a comprehensive survey of modern operator techniques for boundary value problems and spectral theory, employing abstract boundary mappings and Weyl functions. It includes self-contained treatments of the extension theory of symmetric operators and relations, spectral characterizations of selfadjoint operators in terms of the anal...
The Haskell School of Music
This free book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help un...
A First Course in Linear Algebra
A First Course in Linear Algebra, originally by K. Kuttler, as a first course for the general students who have an understanding of basic high school algebra and intend to be users of linear algebra methods in their profession, from business & economics to science students. All major topics of linear algebra are available in detail, as well ...
An Introduction to Machine Learning
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural ...
A Collection of Chess Wisdom
This book is a compilation of all the general advice that a chess player needs to know. It's an excellent introduction to the wisdom of the game for novice players and a great refresher course for more experienced ones. It's recommended that this work be read monthly until all the information within it is instantly recallable....
Game Research Methods
Games are increasingly becoming the focus for research due to their cultural and economic impact on modern society. However, there are many different types of approaches and methods than can be applied to understanding games or those that play games. This book provides an introduction to various game research methods that are useful to students in ...