Delsanto (105 Ergebnisse)

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Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Issued without a dust jacket. Pages clean & bright; binding tight; very minor wear to covers. 218 pages. Illustrated in color and b&w. Explains the physics behind recent discoveries in cosmology, complexity theory, elementary particles, and more. Size: 6 1/2" x 9 1/2".…

Paperback. Zustand: New. 1st ed. 2021. With the aid of entertaining short stories, anecdotes, lucid explanations and straight-forward figures, this book challenges the perception that the world of physics is inaccessible to the non-expert. Beginning with Neanderthal man, it traces the evolution of human reason and understanding from paradoxes and optical illusions to gravitational waves, black holes and dark energy. On the way, it provides insights into the mind-boggling advances at the frontiers of physics and cosmology. Unsolved problems and contradictions are highlighted, and contentious issues in modern physics are discussed in a non-dogmatic way in a language comprehensible to the non-scientist. It has something for everyone.…

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Paperback. Zustand: Brand New. 293 pages. 9.00x6.00x0.75 inches. In Stock.

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Zustand: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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Hardback. Zustand: New. 1st ed. 2016. This book explains - in simple terms and with almost no mathematics - the physics behind recent and glamorous discoveries in Cosmology, Quantum Mechanics, Elementary Particles (e.g. Higgs bosons) and Complexity Theory. En route it delves into the historical landmarks and revolutions that brought about our current understanding of the universe.The book is written mainly for those with little scientific background, both college students and lay readers alike, who are curious about the world of modern physics. Unsolved problems are highlighted and the philosophical implications of the sometimes astounding modern discoveries are discussed. Along the way the reader gains an insight into the mindset and methodology of a physicist.…

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Zustand: New. pp. 218.

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Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New.

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Zustand: New. 1st edition NO-PA16APR2015-KAP.

Paperback. Zustand: New. Choice Recommended Title, January 2021This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts.In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored.The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field.Features: An accessible yet detailed overview of the fieldExplores a hot and growing topicProvides an interdisciplinary perspective.…

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