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"This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient’s medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize."

"Machine learning focuses on predition-- using what you know to predict what you would like to know based on historical relationships between the two. At its core, it's a mathematical/algorithm-based technology that, until recently, required a deep understanding of math and statistical concepts, and fluency in R and other specialized languages. "Machine learning with Spark and Python" simplifies machine learning for a broader audience and wider application by focusing on two algorithm families that effectively predict outcomes, and by showing you how to apply them using the popular and accessible Python programming language. This edition shows how pyspark extends these two algorithms to extremely large data sets requiring multiple distributed processors. The same basic concepts apply. Author Michael Bowles draws from years of machine learning expertise to walk you through the design, construction, and implementation of your own machine learning solutions. The algorithms are explained in simple terms with no complex math, and sample code is provided to help you get started right away. You'll delve deep into the mechanisms behind the constructs, and learn how to select and apply the algorithm that will best solve the problem at hand, whether simple or complex. Detailed examples illustrate the machinery with specific, hackable code, and descriptive coverage of penalized linear regression and ensemble methods helps you understand the fundamental processes at work in machine learning. The methods are effective and well tested, and the results speak for themselves"

"In this book we thought of a different approach, mainly aimed at reaching the majority of professionals in cardiology. With this book we want to address chiefly young cardiologists, cardiology residents in training, general practi- tioners, and cardiologists that wish to maintain and improve their clinical mission. Each chapter is devoted to a specific topic of cardiac diseases and is constructed starting from a clinical case, that is thoroughly discussed, then the description of the current referred knowledge and the guidelines in use."

""This book provides educators with valuable insight into methods and opportunities for using technology to teach students learning a foreign language, offering theoretical and pragmatic cases-illustrate teaching strategies and methodologies, hardware and software development, administrative concerns, and cross-cultural considerations with respect to effective educational technologies"--"