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Beautiful Testing
40,99 € *
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Successful software depends as much on scrupulous testing as it does on solid architecture or elegant code. But testing is not a routine process, it´s a constant exploration of methods and an evolution of good ideas. Beautiful Testing offers 23 essays from 27 leading testers and developers that illustrate the qualities and techniques that make testing an art. Through personal anecdotes, you´ll learn how each of these professionals developed beautiful ways of testing a wide range of products valuable knowledge that you can apply to your own projects. Here´s a sample of what you´ll find inside: - Microsoft´s Alan Page knows a lot about large-scale test automation, and shares some of his secrets on how to make it beautiful - Scott Barber explains why performance testing needs to be a collaborative process, rather than simply an exercise in measuring speed - Karen Johnson describes how her professional experience intersected her personal life while testing medical software - Rex Black reveals how satisfying stakeholders for 25 years is a beautiful thing - Mathematician John D. Cook applies a classic definition of beauty, based on complexity and unity, to testing random number generators All author royalties will be donated to the Nothing But Nets campaign to save lives by preventing malaria, a disease that kills millions of children in Africa each year. This book includes contributions from: - Adam Goucher - Linda Wilkinson - Rex Black - Martin Schröder - Clint Talbert - Scott Barber - Kamran Khan - Emily Chen - Brian Nitz - Remko Tronçon - Alan Page - Neal Norwitz - Michelle Levesque - Jeffrey Yasskin - John D. Cook - Murali Nandigama - Karen N. Johnson - Chris McMahon - Jennitta Andrea - Lisa Crispin - Matt Heusser - Andreas Zeller - David Schuler - Tomasz Kojm - Adam Christian - Tim Riley - Isaac Clerencia Successful software depends as much on scrupulous testing as it does on solid architecture or elegant code. But testing is not a routine process, it´s a constant exploration of methods and an evolution of good ideas. Beautiful Testing offers 23 essays from 27 leading testers and developers that illustrate the qualities and techniques that make testing an art. Through personal anecdotes, you´ll learn how each of these professionals developed beautiful ways of testing a wide range of products -- valuable knowledge that you can apply to your own projects. Here´s a sample of what you´ll find inside: Microsoft´s Alan Page knows a lot about large-scale test automation, and shares some of his secrets on how to make it beautiful Scott Barber explains why performance testing needs to be a collaborative process, rather than simply an exercise in measuring speed Karen Johnson describes how her professional experience intersected her personal life while testing medical software Rex Black reveals how satisfying stakeholders for 25 years is a beautiful thing Mathematician John D. Cook applies a classic definition of beauty, based on complexity and unity, to testing random number generators All author royalties will be donated to the Nothing But Nets campaign to save lives by preventing malaria, a disease that kills millions of children in Africa each year. This book includes contributions from: Adam Goucher Linda Wilkinson Rex Black Martin Schr

Anbieter: buecher.de
Stand: 19.09.2019
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Machine Learning and AI for Healthcare
25,99 € *
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Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You´ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You´ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You´ll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Anbieter: buecher.de
Stand: 19.09.2019
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Development and Validation of a Mobile Gait Ana...
28,50 € *
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Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson´s Disease:FAU Studien aus der Informatik 3 Jens Gerhard Barth

Anbieter: Hugendubel.de
Stand: 04.09.2019
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