Maintenance Manual for Life-Long Learning PDF Download
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Author: American Academy of Otolaryngology
Publisher: Kendall Hunt
ISBN: 9780787288877
Category : Medical
Languages : en
Pages : 832
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Author: American Academy of Otolaryngology
Publisher: Kendall Hunt
ISBN: 9780787288877
Category : Medical
Languages : en
Pages : 832
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Book Description
Author: Jonas T. Johnson
Publisher: Kendall Hunt
ISBN: 9780787288884
Category : Education
Languages : en
Pages : 784
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Book Description
Author: AAO-HNSF
Publisher: Thieme
ISBN: 1626239762
Category : Medical
Languages : en
Pages : 1645
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Book Description
Otolaryngology Lifelong Learning Manual, Third Edition, is the AAO-HNSFs comprehensive guide for lifelong learning and for those taking certification and re-certification exams in otolaryngology-head and neck surgery. The book is divided into ten sections, each representing a subspecialty within otolaryngology-head and neck surgery, including: General, Facial Plastic and Reconstructive Surgery, Head and Neck, Laryngology and Bronchoesophagology, Otology and Neurotology, Pediatric Otolaryngology, and Rhinology and Allergy. Key Features: Focuses on continuing professional development (CPD)and lifelong learning Covers the clinical fundamentals that all otolaryngologists must master Includes a new chapter on trauma written by the AAO-HNSF Trauma Committee which includes active duty military physicians This exam review book is an essential study guide for all residents in otolaryngology preparing for certification exams as well as practicing otolaryngologists preparing to take their re-certification exams. Thieme eOtolaryngology is the premier online resource for otolaryngologyhead and neck surgery. For a free trial, go to: thieme.com/eototrial
Author: Jennifer J. Shin
Publisher: Plural Publishing
ISBN: 1597565962
Category : Medical
Languages : en
Pages : 1273
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Author: Zhiyuan Sun
Publisher: Springer Nature
ISBN: 3031015819
Category : Computers
Languages : en
Pages : 187
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Book Description
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.
Author: Galina Tachieva
Publisher: Island Press
ISBN: 1597269859
Category : Architecture
Languages : en
Pages : 305
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Book Description
There is a wealth of research and literature explaining suburban sprawl and the urgent need to retrofit suburbia. However, until now there has been no single guide that directly explains how to repair typical sprawl elements. The Sprawl Repair Manual demonstrates a step-by-step design process for the re-balancing and re-urbanization of suburbia into more sustainable, economical, energy- and resource-efficient patterns, from the region and the community to the block and the individual building. As Galina Tachieva asserts in this exceptionally useful book, sprawl repair will require a proactive and aggressive approach, focused on design, regulation and incentives. The Sprawl Repair Manual is a much-needed, single-volume reference for fixing sprawl, incorporating changes into the regulatory system, and implementing repairs through incentives and permitting strategies. This manual specifies the expertise that’s needed and details the techniques and algorithms of sprawl repair within the context of reducing the financial and ecological footprint of urban growth. The Sprawl Repair Manual draws on more than two decades of practical experience in the field of repairing and building communities to analyze the current pattern of sprawl development, disassemble it into its elemental components, and present a process for transforming them into human-scale, sustainable elements. The techniques are illustrated both two- and three-dimensionally, providing users with clear methodologies for the sprawl repair interventions, some of which are radical, but all of which will produce positive results.
Author:
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Category : Education
Languages : en
Pages : 340
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ISBN:
Category : Education
Languages : en
Pages : 1216
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Category : Government publications
Languages : en
Pages : 1814
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Publisher: Homeowners Education Associ
ISBN: 0971196931
Category :
Languages : en
Pages : 147
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Book Description
