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Thinking Machines : Machine Learning and Its Hardware Implementation / Shigeyuki TAKANO / ELSEVIER SCIENCE (2021)
Titre : Thinking Machines : Machine Learning and Its Hardware Implementation Type de document : e-book Auteurs : Shigeyuki TAKANO Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128182796 Note générale : copyrighted Langues : Anglais (eng) Résumé : Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks.This is a recommended book for those who have basic knowledge of machine learning or those who want to learn more about the current trends of machine learning. Presents a clear understanding of various available machine learning hardware accelerator solutions that can be applied to selected machine learning algorithms Offers key insights into the development of hardware, from algorithms, software, logic circuits, to hardware accelerators Introduces the baseline characteristics of deep neural network models that should be treated by hardware as well Presents readers with a thorough review of past research and products, explaining how to design through ASIC and FPGA approaches for target machine learning models Surveys current trends and models in neuromorphic computing and neural network hardware architectures Outlines the strategy for advanced hardware development through the example of deep learning accelerators Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930550 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550487
Titre : Visual Thinking for Information Design Ed. 2 Type de document : e-book Auteurs : Colin WARE Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128235676 Note générale : copyrighted Langues : Anglais (eng) Résumé : Visual Thinking for Information Design, Second Edition brings the science of perception to the art of design. The book takes what we now know about perception, cognition and attention and transforms it into concrete advice that students and designers can directly apply. It demonstrates how designs can be considered as tools for cognition and extensions of the viewer’s brain in much the same way that a hammer is an extension of the user’s hand. The book includes hundreds of examples, many in the form of integrated text and full-color diagrams. Renamed from the first edition, Visual Thinking for Design, to more accurately reflect its focus on infographics, this timely revision has been updated throughout and includes more content on pattern perception, the addition of new material illustrating color assimilation, and a new chapter devoted to communicating ideas through images. Presents visual thinking as a complex process that can be supported in every stage using specific design techniques Provides practical, task-oriented information for designers and software developers charged with design responsibilities Includes hundreds of examples, many in the form of integrated text and full-color diagrams Steeped in the principles of “active vision,? which views graphic designs as cognitive tools Features a new chapter titled Communicating Ideas with Images that focuses on a new emerging theory of human cognition and how that theory, which deals with the construction and refinement of predictive mental models in the mind, provides a solid foundation for reasoning about what should go into a presentation Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930379 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549366 Whisky and Other Spirits : Technology, Production and Marketing Ed. 3 / Graham STEWART / ELSEVIER SCIENCE (2021)
Titre : Whisky and Other Spirits : Technology, Production and Marketing Ed. 3 Type de document : e-book Auteurs : Graham STEWART Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128220764 Note générale : copyrighted Langues : Anglais (eng) Résumé : Whisky and Other Spirits: Technology, Production and Marketing, Third Edition continues to provide details from raw materials to the finished product, including production, packaging and marketing. It focuses on the science and technology of the process as well as the environment in which it is produced. Today, environmental concerns and sustainability of products has taken on a new level of importance. Traditional ways of packaging and marketing have also changed dramatically in recent years as the technology of packaging has moved from a staid bottle industry to spirit products that cross traditional beverage categories and packaging. This new edition provides the latest changes in industry and the beverages market. All chapters are updated, with new chapters added to help improve research and development, and to increase production of not only whiskey but other spirits such as gin and rum and white spirits. This new edition also discusses trendy reduced alcohol and no alcohol products. Presents a detailed look into current global situation for whisky and spirits production Highlights craft distilling and the challenges craft distillers face by presenting the art of spirit production in clear detail Presents insights into how marketing has changed for distilled products, with an emphasis on new mobile technologies Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930549 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=552875
Titre : White Wine Technology Type de document : e-book Auteurs : Antonio MORATA Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128234976 Note générale : copyrighted Langues : Anglais (eng) Résumé : White Wine Technology addresses the challenges surrounding white wine production. The book explores emerging trends in modern enology, including molecular tools for wine quality and analysis of modern approaches to maceration extraction, alternative microorganisms for alcoholic fermentation, and malolactic fermentation. The book focuses on the technology and biotechnology of white wines, providing a quick reference of novel ways to increase and improve overall wine production and innovation. Its reviews of recent studies and technological advancements to improve grape maturity and production and ways to control PH level make this book essential to wine producers, researchers, practitioners, technologists and students. Covers trends in in both traditional and modern enology technologies, including extraction, processing, stabilization and ageing technologies Examines the potential impacts of climate change on wine quality Provides an overview of biotechnologies to improve wine freshness in warm areas and to manage maturity in cold climates Includes detailed information on hot topics such as the use of GMOs in wine production, spoilage bacteria, the management of oxidation, and the production of dealcoholized wines Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930497 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553623 Algorithmic Trading Methods : Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques Ed. 2 / Robert KISSELL / ELSEVIER SCIENCE (2020)
Titre : Algorithmic Trading Methods : Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques Ed. 2 Type de document : e-book Auteurs : Robert KISSELL Editeur : ELSEVIER SCIENCE Année de publication : 2020 Note générale : copyrighted Langues : Anglais (eng) Résumé : Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages. Provides insight into all necessary components of algorithmic trading including: transaction cost analysis, market impact estimation, risk modeling and optimization, and advanced examination of trading algorithms and corresponding data requirements. Increased coverage of essential mathematics, probability and statistics, machine learning, predictive analytics, and neural networks, and applications to trading and finance. Advanced multiperiod trade schedule optimization and portfolio construction techniques. Techniques to decode broker-dealer and third-party vendor models. Methods to incorporate TCA into proprietary alpha models and portfolio optimizers. TCA library for numerous software applications and programming languages including: MATLAB, Excel Add-In, Python, Java, C/C++, .Net, Hadoop, and as standalone .EXE and .COM applications. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914793 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535040 PermalinkAutomation and Its Macroeconomic Consequences : Theory, Evidence, and Social Impacts / Klaus PRETTNER / ELSEVIER SCIENCE (2020)PermalinkA Beginner's Guide to Data Agglomeration and Intelligent Sensing / Amartya MUKHERJEE / ELSEVIER SCIENCE (2020)PermalinkPermalinkBuilding the Future of Food Safety Technology : Blockchain and Beyond / Darin DETWILER / ELSEVIER SCIENCE (2020)PermalinkPermalinkCase Studies on Food Experiences in Marketing, Retail, and Events / Susanne DOPPLER / ELSEVIER SCIENCE (2020)PermalinkCloud Control Systems : Analysis, Design and Estimation / Magdi S. MAHMOUD / ELSEVIER SCIENCE (2020)PermalinkPermalinkCredit Data and Scoring : The First Triumph of Big Data and Big Algorithms / Eric ROSENBLATT / ELSEVIER SCIENCE (2020)Permalink
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