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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms Build machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey Features: Implement machine learning techniques and algorithms in graph data Identify the relationship between nodes in order to make better business decisions Apply graph-based machine learning methods to solve real-life problemsBook Description:Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use.You'll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data.After covering the basics, you'll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You'll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs.By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.What You Will Learn: Write Python scripts to extract features from graphs Distinguish between the main graph representation learning techniques Learn how to extract data from social networks, financial transaction systems, for text analysis, and more Implement the main unsupervised and supervised graph embedding techniques Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more Deploy and scale out your application seamlesslyWho this book is for:This book is for data scientists, data analysts, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance using machine learning. It will also be useful for machine learning developers or anyone who wants to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is required, alongside a solid understanding of ML basics. You'll also need intermediate-level Python programming knowledge to get started with this book.ISBN 10: 1800204493ISBN 13: 9781800204492
9781800204492
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Grays Anatomy: The Anatomical Basis of Clinical Practice Grays Anatomy: The Anatomical Basis of Clinical Practice Susan Standring, MBE, PhD, DSc, FKC, Hon FAS, Hon FRCSTrust Gray’s. Building on over 160 years of anatomical excellenceIn 1858, Drs Henry Gray and Henry Vandyke Carter created a book for their surgical colleagues that established an enduring standard among anatomical texts. After more than 160 years of continuous publication, Gray’s Anatomy remains the definitive, comprehensive reference on the subject, offering ready access to the information you need to ensure safe, effective practice.This 42nd edition has been meticulously revised and updated throughout, reflecting the very latest understanding of clinical anatomy from the world’s leading clinicians and biomedical scientists.The book’s acclaimed, lavish art programme and clear text has been further enhanced, while major advances in imaging techniques and the new insights they bring are fully captured in state of the art X-ray, CT, MR and ultrasonic images.The accompanying eBook version is richly enhanced with additional content and media, covering all the body regions, cell biology, development and embryogenesis – and now includes two new systems-orientated chapters. This combines to unlock a whole new level of related information and interactivity, in keeping with the spirit of innovation that has characterised Gray’s Anatomy since its inception.Each chapter has been edited by international leaders in their field, ensuring access to the very latest evidence-based information on topicsOver 150 new radiology images, offering the very latest X-ray, multiplanar CT and MR perspectives, including state-of-the-art cinematic renderingThe downloadable Expert Consult eBook version included with your (print) purchase allows you to easily search all of the text, figures, references and videos from the book on a variety of devicesElectronic enhancements include additional text, tables, illustrations, labelled imaging and videos, as well as 21 specially commissioned ‘Commentaries’ on new and emerging topics related to anatomyNow featuring two extensive electronic chapters providing full coverage of the peripheral nervous system and the vascular and lymphatic systems.The result is a more complete, practical and engaging resource than ever before, which will prove invaluable to all clinicians who require an accurate, in-depth knowledge of anatomy.ISBN 10: 0702077054ISBN 13: 9780702077050
9780702077050
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Hallidays Introduction to Functional Grammar Hallidays Introduction to Functional Grammar Fully updated and revised, this fourth edition of Halliday's Introduction to Functional Grammar explains the principles of systemic functional grammar, enabling the reader to understand and apply them in any context. Halliday's innovative approach of engaging with grammar through discourse has become a worldwide phenomenon in linguistics.Updates to the new edition include: Recent uses of systemic functional linguistics to provide further guidance for students, scholars and researchers More on the ecology of grammar, illustrating how each major system serves to realise a semantic system A systematic indexing and classification of examples More from corpora, thus allowing for easy access to dataHalliday's Introduction to Functional Grammar, Fourth Edition, is the standard reference text for systemic functional linguistics and an ideal introduction for students and scholars interested in the relation between grammar, meaning and discourse.ISBN 10: 0415826284ISBN 13: 9780415826280
9780415826280
5.0 stars, based on 5 review 1992
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Handbook of Ecological Indicators for Assessment of Ecosystem Health -Applied Ecology and Environmental Management Handbook of Ecological Indicators for Assessment of Ecosystem Health  -Applied Ecology and Environmental Management Continuing in the tradition of its bestselling predecessor, the Handbook of Ecological Indicators for Assessment of Ecosystem Health, Second Edition brings together world-class editors and contributors who have been at the forefront of ecosystem health assessment research for decades, to provide a sound approach to environmental management and sustainable development.Significantly updated and expanded, this authoritative resource details a proven framework for selecting, evaluating, and validating ecological indicators for ecosystem health assessment. It guides readers through the application of this framework to a wide range of ecosystems, including wetlands, estuaries, coastal zones, lakes, forests, marine ecosystems, lagoons, agricultural systems, landscapes, and rivers. The text synthesizes material from a variety of books, journals, and private research, to consider biodiversity, energy needs, ecological economics, and natural capital in the measurement of ecological health.Organized for ease of reference, the first part of the handbook provides the required theoretical background. It presents a complete overview of all relevant ecological indicators-including thermodynamics, resilience estimates, exergy, and emergy indicators. The second part focuses on how to effectively apply the ecological indicators to a number of important ecosystems. It includes many examples and case studies that clearly illustrate the advantages and disadvantages of each method for specific applications.Offering first-hand insight and practical guidance from practitioners in the field, this complete resource supplies the tools and the well-rounded understanding required to diagnose the health of virtually any ecosystem with much improved accuracy.ISBN 10: 1439809364ISBN 13: 9781439809365
9781439809365
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Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and appsPurchase of the print or Kindle book includes a free PDF eBookKey Features: Implement state-of-the-art graph neural network architectures in Python Create your own graph datasets from tabular data Build powerful traffic forecasting, recommender systems, and anomaly detection applicationsBook Description:Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you'll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.By the end of this book, you'll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.What You Will Learn: Understand the fundamental concepts of graph neural networks Implement graph neural networks using Python and PyTorch Geometric Classify nodes, graphs, and edges using millions of samples Predict and generate realistic graph topologies Combine heterogeneous sources to improve performance Forecast future events using topological information Apply graph neural networks to solve real-world problemsWho this book is for:This book is for machine learning practitioners and data scientists interested in learning about graph neural networks and their applications, as well as students looking for a comprehensive reference on this rapidly growing field. Whether you're new to graph neural networks or looking to take your knowledge to the next level, this book has something for you. Basic knowledge of machine learning and Python programming will help you get the most out of this book.ISBN 10: 1804617520ISBN 13: 9781804617526
9781804617526
5.0 stars, based on 5 review 889
Harrisons Principles of Internal Medicine, Twenty-Second Edition -Vol.1 & Vol.2 Harrisons Principles of Internal Medicine, Twenty-Second Edition  -Vol.1 & Vol.2 The acclaimed, landmark guide to internal medicine-updated to reflect the latest guidelines and recommendationsThe Voice of Clinical ReasonFor more than seven decades, Harrison’s Principles of Internal Medicine has provided healthcare professionals with the informational foundation needed to provide optimal patient care. The world’s leading authority on applied pathophysiology and clinical medicine, this trusted resource has covered countless advances and developments across the full span of medicine.Fully updated, the new 22nd edition has been modified extensively in its structure and content and offers a standardized format for each disease chapter. The authors and editors have curated and synthesized the vast amount of information that comprises general internal medicine and each of the major specialties into a highly readable and informative resource.Harrison’s is world-renowned as the most authoritative source for:• Descriptions of disease mechanisms and how the clinician can apply that knowledge for the best patient care and optimal diagnosis and treatment of specific diseases• Clear, concise schemas that facilitate the generation of differential diagnoses to reason efficiently through complex real world clinical cases• The physiologic and epidemiologic basis of signs and symptoms, which are covered through a wealth of unsurpassed expert guidance and linked to the disease-specific chapters that follow• Updated clinical trial results and recommended guidelines• Excellent and extensive visual support, including radiographs, clinical photos, schematics, and high-quality drawings• Coverage of both therapeutic approaches and specific treatment regimens• Practical clinical decision trees and algorithms• Organ- and system-specific sections, with clinically relevant pathophysiology and practical clinical advice on the approach to the patient, strategies towards building a differential diagnosis, outstanding clinical algorithms and diagnostic schema, a wealth of clinical images and diagrams, current clinical guidelines, general and specific approaches to therapyThis twenty-second edition features:• Updated content that reflects new approved therapeutics and new practice-changing guidelines and evidence summaries• More than 3,000, clinical, pathological, and radiographic photographs, diagnostic and therapeutic decision trees, and clear schematics and diagrams describing pathophysiologic processes• Numerous atlases featuring curated collections of important visual aspects of diagnosis and management• Brand new chapters, including The Value of the Physical Examination in Modern Medicine, Physician Well-Being, Exercise Intolerance, Primary and Secondary Hemophagocytic Lymphohistiocytosis, Symptom Control in Patients with Cancer, Principles of Immunization, COVID and Other Coronavirus Infections, Desensitization, Point-of-Care Ultrasound, Placebo and Nocebo Effects, and Bedside Examination Tests in the Patient with Low Back Pain, Antithrombotic Therapy in Adult PatientsISBN 10: 1265979316ISBN 13: 9781265979317
9781265979317
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Higiene ocupacional Higiene ocupacional ISBN 10: 8539629453ISBN 13: 9788539629459
9788539629459
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Histologia Vegetal Histologia Vegetal ISBN 10: 8587692798 ISBN 13: 9788587692795
9788587692795
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Historia da escola em Portugal e no Brasil Historia da escola em Portugal e no Brasil Os estudos reunidos neste livro têm por finalidade compreender como como se desenvolveram em Portugal e no Brasil, entre o final do séc. XVIII e as primeiras décadas do séc. XX, os processos concomitantes de construção de um modelo escolar de educação e dISBN 10: 9727726232ISBN 13: 9789727726233
9789727726233
5.0 stars, based on 5 review 1010
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How to Conduct Qualitative Research in Social Science -How to Research Guides How to Conduct Qualitative Research in Social Science  -How to Research Guides This book offers insights into key research-based strategies that can help to alleviate global challenges faced by both individuals and groups in society. Focusing on conducting qualitative research, the chapters highlight an approach for understanding human thoughts and actions, and examining how things actually function in society.Explaining both the theoretical and practical aspects of doing qualitative research, the book uses examples from real-world research projects to emphasise how to conduct qualitative research in the social sciences. Pranee Liamputtong draws together contributions covering qualitative research in cultural and medical anthropology, sociology, gender studies, political science, criminology, demography, economic sciences, social work, and education. Each chapter discusses the essence of a discipline before examining the contribution of qualitative enquiry and then interrogating traditional qualitative research methods as well as emerging or innovative methods.This will be an invigorating read for students and scholars of the social sciences. Its combination of theoretical and practical insights will also be essential for qualitative researchers.ISBN 10: 1035332086ISBN 13: 9781035332083
9781035332083
5.0 stars, based on 5 review 917
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Identity, Community, and Learning Lives in the Digital Age Identity, Community, and Learning Lives in the Digital Age Recent work on education, identity, and community has expanded the intellectual boundaries of learning research. From home-based studies examining youth experiences with technology, to forms of entrepreneurial learning in informal settings, to communities of participation in the workplace, family, community, trade union, and school, research has attempted to describe and theorize the meaning and nature of learning. Learning Lives offers a systematic reflection on these studies, exploring how learning can be characterized across a range of “whole-life” experiences. The volume brings together hitherto discrete and competing scholarly traditions: sociocultural analyses of learning, ethnographic literacy research, geo-spatial location studies, discourse analysis, comparative anthropological studies of education research, and actor network theory. The contributions are united through a focus on the ways in which learning shapes lives in a digital age.ISBN 10: 1107507278ISBN 13: 9781107507272
9781107507272
5.0 stars, based on 5 review 795
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Image-Music-Text Image-Music-Text These essays, as selected and translated by Stephen Heath, are among the finest writings Barthes ever published on film and photography, and on the phenomena of sound and image. The classic pieces "Introduction to the Structural Analysis of Narrative" and "The Death of the Author" are also included.ISBN 10: 0374521360ISBN 13: 9780374521363
9780374521363
5.0 stars, based on 5 review 537
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Imperfeitos -Em Portugues do Brasil Imperfeitos  -Em Portugues do Brasil Olive se sente como a gêmea azarada da casa: dos acidentes estranhamente inexplicáveis ao fracasso na vida profissional e amorosa - nada dá certo para ela. Porém, parece que o jogo vira quando sua alergia a frutos do mar a protege de um desastre, já que todos os convidados da festa de casamento da irmã sofrem com intoxicação alimentar. Na verdade... nem todos. Ethan, o irmão do noivo, também ficou de fora desse pesadelo. Então, a irmã de Olive, sempre muito prática, propõe a eles que aproveitem a viagem de lua-de-mel, que não é reembolsável, para uma ilha do Havaí.Mas há um “pequeno” problema: Olive e Ethan são inimigos mortais. Há um passado entre eles que tornou a convivência impossível. Mas quem vai dizer não para essa viagem? Ainda mais de graça? Nem pensar! A ideia de ambos era ficar bem longe um do outro, mas a situação muda quando uma mentirinha boba vai crescendo e não podem voltar atrás. E dividindo a mesma suíte, entre farpas e sarcasmos, já se pode desconfiar.... onde tem raiva tem fogo?Com diálogos inteligentes e divertidos, dois personagens cativantes, e cenários de tirar o fôlego, Imperfeitos é o livro ideal para rir sem parar e ainda ver uma história de amor nascer no lugar mais improvável.ISBN 10: 6559571289ISBN 13: 9786559571284
9786559571284
5.0 stars, based on 5 review 44.9
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Industrial Communication Systems Industrial Communication Systems The Industrial Electronics Handbook, Second Edition, Industrial Communications Systems combines traditional and newer, more specialized knowledge that helps industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems-such as neural networks, fuzzy systems, and evolutionary methods-in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components.Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. Modern communication systems in factories use many different-and increasingly sophisticated-systems to send and receive information. Industrial Communication Systems spans the full gamut of concepts that engineers require to maintain a well-designed, reliable communications system that can ensure successful operation of any production process.Delving into the subject, this volume covers:Technical principles Application-specific areas Technologies Internet programming Outlook, including trends and expected challengesOther volumes in the set:Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Intelligent SystemsISBN 10: 1138071803ISBN 13: 9781138071803
9781138071803
5.0 stars, based on 5 review 1769
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Information Literacy and Cultural Heritage: Developing a Model for Lifelong Learning -Chandos Information Professional Series Information Literacy and Cultural Heritage: Developing a Model for Lifelong Learning  -Chandos Information Professional Series There is a complex and contested terrain of cultural heritage in the library, archive and museum context. Information Literacy and Cultural Heritage explores this landscape and covers perspectives from museums, archives and libraries, highlighting the role of memory and contested history in the collection, description and presentation of cultural heritage. The book argues that the convergence of libraries, archives and museums in digital preservation should be extended to include the development of combined lifelong learning programmes, teaching both information literacy skills and awareness of cultural heritage.This title is structured into seven chapters, covering cultural heritage in the library, archive and museum context; digital information contexts; an overview of information literacy models of stages and processes, as well as models of standards, competencies and performance indicators. The book then examines the role of critical thinking and lifelong learning; proposes a generic model of information literacy and cultural heritage for lifelong learning; offers guidelines for adapting the model to local contexts; and offers a conclusion. Covers cultural heritage in the museums, archives and library context Explores the place of cultural heritage and social issues in the digital information context Reviews existing models of information literacy processes, standards and indicatorsISBN 10: 1843347202ISBN 13: 9781843347200
9781843347200
5.0 stars, based on 5 review 1879
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Inteligência Artificial -Em Portuguese do Brasil Inteligência Artificial  -Em Portuguese do Brasil O livro visa cobrir uma variedade de técnicas de Inteligência Artificial, algoritmos e metodologias, incluindo playing game, agentes inteligentes, aprendizado de máquinas, algoritmos genéticos e vida artificial. O autor concentra-se em explicar como técnicas de Inteligência Artificial se relacionam e são derivadas de sistemas naturais, tais como o cérebro humano e a própria evolução das espécies, buscando explicar como os equivalentes artificiais são utilizados no mundo real. Cada capítulo inclui uma introdução, explicando o que será abordado, um resumo do capítulo, alguns exercícios e questões para revisão, bem como sugestões para leitura adicional. Há uma bibliografia no final do livro, além de um glossário incluindo breves definições de certos termos.ISBN 10: 8521617291ISBN 13: 9788521617297
9788521617297
5.0 stars, based on 5 review 624
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Inteligência Artificial -Em Portuguese do Brasil Inteligência Artificial  -Em Portuguese do Brasil Livro-texto para a disciplina Inteligência Artificial (IA), com uma abordagem prática e moderna, adequada a um curso semestral. Trata das aplicações em IA a partir da utilização das quatro técnicas abaixo: Sistemas Fuzzy; Redes Neurais Artificiais; Modelos Híbridos: Neuro-Fuzzy; Conjuntos Aproximados. E dos fundamentos teóricos a partir de exemplos didáticos, exercícios que aliam teoria e prática, ambiente de simulação computacional com sugestões e atividades em laboratório.ISBN 10: 8535278087ISBN 13: 9788535278088
9788535278088
5.0 stars, based on 5 review 544
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Inteligência artificial, análise e ciência de dados Inteligência artificial, análise e ciência de dados Inteligência artificial, análise e ciência de dados
9786555584592
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