Détail de l'éditeur
ELSEVIER SCIENCE |
Documents disponibles chez cet éditeur (765)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche
Data Democracy : At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering / Feras A. BATARSEH / ELSEVIER SCIENCE (2020)
Titre : Data Democracy : At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering Type de document : e-book Auteurs : Feras A. BATARSEH Editeur : ELSEVIER SCIENCE Année de publication : 2020 ISBN/ISSN/EAN : 9780128183663 Note générale : copyrighted Langues : Anglais (eng) Résumé : Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world’s best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. The future of the data republic, life within a data democracy, and our digital freedoms An in-depth analysis of open science, open data, open source software, and their future challenges A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction A systematic review of AI methods applied to software engineering problems Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914809 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535341 Deep Learning for Data Analytics : Foundations, Biomedical Applications, and Challenges / Himansu DAS / ELSEVIER SCIENCE (2020)
Titre : Deep Learning for Data Analytics : Foundations, Biomedical Applications, and Challenges Type de document : e-book Auteurs : Himansu DAS Editeur : ELSEVIER SCIENCE Année de publication : 2020 ISBN/ISSN/EAN : 9780128197646 Note générale : copyrighted Langues : Anglais (eng) Résumé : Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis. Presents the latest advances in Deep Learning for data analytics and biomedical engineering applications. Discusses Deep Learning techniques as they are being applied in the real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes, performance evaluation, Deep Learning optimization, deep auto-encoders, and deep neural networks Provides readers with an introduction to Deep Learning, along with coverage of deep belief networks, convolutional neural networks, Restricted Boltzmann Machines, data analytics basics, enterprise data science, predictive analysis, optimization for Deep Learning, and feature selection using Deep Learning Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914876 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535076 Designing with the Mind in Mind : Simple Guide to Understanding User Interface Design Guidelines Ed. 3 / Jeff JOHNSON / ELSEVIER SCIENCE (2020)
Titre : Designing with the Mind in Mind : Simple Guide to Understanding User Interface Design Guidelines Ed. 3 Type de document : e-book Auteurs : Jeff JOHNSON Editeur : ELSEVIER SCIENCE Année de publication : 2020 Note générale : copyrighted Langues : Anglais (eng) Résumé : User interface (UI) design rules and guidelines, developed by early HCI gurus and recognized throughout the field, were based on cognitive psychology (study of mental processes such as problem solving, memory, and language), and early practitioners were well informed of its tenets. But today practitioners with backgrounds in cognitive psychology are a minority, as user interface designers and developers enter the field from a wide array of disciplines. HCI practitioners today have enough experience in UI design that they have been exposed to UI design rules, but it is essential that they understand the psychological basis behind the rules in order to effectively apply them. In Designing with the Mind in Mind, best-selling author Jeff Johnson provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow. Provides an essential source for user interface design rules and how, when, and why to apply them Arms designers with the science behind each design rule, allowing them to make informed decisions in projects, and to explain those decisions to others Equips readers with the knowledge to make educated tradeoffs between competing rules, project deadlines, and budget pressures Completely updated and revised, including additional coverage in such areas as persuasion, cognitive economics and decision making, emotions, trust, habit formation, and speech UIs Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914822 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535050 Economic Effects of Natural Disasters : Theoretical Foundations, Methods, and Tools / Taha CHAIECHI / ELSEVIER SCIENCE (2020)
Titre : Economic Effects of Natural Disasters : Theoretical Foundations, Methods, and Tools Type de document : e-book Auteurs : Taha CHAIECHI Editeur : ELSEVIER SCIENCE Année de publication : 2020 ISBN/ISSN/EAN : 9780128174654 Note générale : copyrighted Langues : Anglais (eng) Résumé : Economic Effects of Natural Disasters explores how natural disasters affect sources of economic growth and development. Using theoretical econometrics and real-world data, and drawing on advances in climate change economics, the book shows scholars and researchers how to use various research methods and techniques to investigate and respond to natural disasters. No other book presents empirical frameworks for the evaluation of the quality of macroeconomic research practice with a focus on climate change and natural disasters. Because many of these subjects are so large, different regions of the world use different approaches, hence this resource presents tailored economic applications and evidence. Connects economic theories and empirical work in climate change to natural disaster research Shows how advances in climate change and natural disaster research can be implemented in micro- and macroeconomic simulation models Addresses structural changes in countries afflicted by climate change and natural disasters Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914779 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=537899
Titre : Effective Security Management Ed. 7 Type de document : e-book Auteurs : Charles A. SENNEWALD Editeur : ELSEVIER SCIENCE Année de publication : 2020 ISBN/ISSN/EAN : 9780128147948 Note générale : copyrighted Langues : Anglais (eng) Résumé : Effective Security Management, Seventh Edition teaches practicing security professionals how to build their careers by mastering the fundamentals of good management. Charles Sennewald and Curtis Baillie bring common sense, wisdom and humor to this bestselling introduction to security management. For both new and experienced security managers, this resource is the classic book on the topic. Provides a new chapter on problem-solving, a critical skillset for effective security management Includes expanded coverage of international topics, cases and examples Features contributions from leading security experts Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914824 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535051 Enhancing Disaster Preparedness : From Humanitarian Architecture to Community Resilience / A. Nuno MARTINS / ELSEVIER SCIENCE (2020)PermalinkEnvironmental, Social, and Governance (ESG) Investing : A Balanced Analysis of the Theory and Practice of a Sustainable Portfolio / John HILL / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkFuture Directions in Digital Information : Predictions, Practice, Participation / David BAKER / ELSEVIER SCIENCE (2020)PermalinkPermalinkGlobal Environmental Sustainability : Case Studies and Analysis of the United Nations’ Journey toward Sustainable Development / Choy Yee KEONG / ELSEVIER SCIENCE (2020)PermalinkPermalinkA Guide to Econometric Methods for the Energy-Growth Nexus / Angeliki MENEGAKI / ELSEVIER SCIENCE (2020)PermalinkPermalink
LIBRARY - Campus Rouen
NEOMA Business School
pmb
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26