Strange and Schafermeyer's Pediatric Emergency Medicine (5版)

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【少量特別書籍 若無貨可能須等候5-7日 因”客制特別調書不收退貨” 可接受在下單】 詹姆斯網路書局 書名：Strange and Schafermeyer's Pediatric Emergency Medicine 作者：Tenenbein 出版社：合記 出版年份：2019 條碼：9781259860751 Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Concise, current, need-to-know coverage of emergency medicine in children – presented in full color Endorsed by the American College of Emergency Physicians "...a comprehensive and current resource for anyone who cares for children in an acute setting, from the office to the emergency department. Its presentation is straightforward, and the information is easy to read and assimilate. It will be a valuable resource for those in the field of pediatric emergency medicine as well as other practitioners who occasionally care for sick children."―JAMA (reviewing an earlier edition) This clinically-focused guide covers the entire field of pediatric emergency medicine. Featuring a strong focus on practical need-to-know information Pediatric Emergency Medicine, Fifth Edition is bolstered by numerous full-color images, bulleted High-Yield Facts at the beginning of each chapter, nearly 100 diagnostic and treatment algorithms, and treatment tables with drug dosages. Endorsed by the American College of Emergency Physicians, this book is perfect for use in the emergency department or the pediatric clinic. FEATURES •Chapters open with bulleted High-Yield Facts, followed by just enough pathophysiology for understanding, andcontinue with a focus on what needs to be done to protect and save the child •Broad scope spans the full spectrum of pediatric emergencies -- from trauma care to psychosocial emergencies •NEW CHAPTER on Brief Resolved Unexplained Events (BRUE) •Opens with an important symptom-based section of Cardinal Presentations that familiarizes you with crucial life-saving protocols •Covers all major categories of disease that present in children on an urgent or emergent basis If you are in need of a very readable and easily accessible, evidence-based text written to help you provide high quality emergency medical care to children, your search ends here.

Linear Algebra and Its Applications (4版)

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書名：Linear Algebra and Its Applications 4/e 作者：STRANG 出版社：Cengage 出版日期：2006/00/00 ISBN：9780030105678 內容簡介 ●Offers a large number of applications to physics, engineering, probability and statistics, economics, and biology. These are not tacked on at the end; they are part of the mathematics. ●Includes an optional section on the Fast Fourier Transform. Students discover how this outstanding algorithm fits into linear algebra and introduces complex numbers. ●Recognizes what the computer can do in linear algebra, without being dominated by it. ●Contains a wealth of exercises that appear in the sections and in the chapter reviews. 目錄 1. MATRICES AND GAUSSIAN ELIMINATION. 2. VECTOR SPACES. 3. ORTHOGONALITY. 4. DETERMINANTS. 5. EIGENVALUES AND EIGENVECTORS. 6. POSITIVE DEFINITE MATRICES. 7. COMPUTATIONS WITH MATRICES. 8. LINEAR PROGRAMMING AND GAME THEORY. Appendix A: Intersection, Sum, and Product of Spaces. Appendix B: The Jordan Form. Solutions to Selected Exercises.

Linear Algebra and Learning from Data

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Linear Algebra and Learning from Data ISBN13：9780692196380 出版社：Cambridge Univ Pr 作者：Gilbert Strang 裝訂：精裝 出版日：2019/02/28 內容簡介 ●The first textbook designed to teach linear algebra as a tool for deep learning ●From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra ●Includes the necessary background from statistics and optimization ●Explains stochastic gradient descent, the key algorithim of deep learning, in detail 目錄 Deep learning and neural nets Preface and acknowledgements Part I. Highlights of Linear Algebra Part II. Computations with Large Matrices Part III. Low Rank and Compressed Sensing Part IV. Special Matrices Part V. Probability and Statistics Part VI. Optimization Part VII. Learning from Data Books on machine learning Eigenvalues and singular values: Rank One Codes and algorithms for numerical linear algebra Counting parameters in the basic factorizations