Khatri parul (33 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. In English.

Paperback. Condición: new. Paperback. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms.Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.…

Paperback. Condición: New. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.…

Condición: New. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Clo.

Condición: New.

Paperback. Condición: New. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.…

Taschenbuch. Condición: Neu. Artificial Intelligence and Machine Learning for EDGE Computing | Rajiv Pandey (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Inc | EAN 9780128240540 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Neuware - Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.…

Paperback. Condición: New. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.…

Paperback. Condición: new. Paperback. Artificial Intelligence and Machine Learning for EDGE Computing Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New.

Condición: New.

Condición: New.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mannepalli Dr Praveen KumarDr Praveen Kumar Mannepalli Working as a Professor, LNCT University, Bhopal. He has a twenty years Reaches and Teaching Experience. He was guided M.Tech and Phd Scholars in Computer Science & Engineering.Mr.…

Condición: new. Questo è un articolo print on demand.

Paperback. Condición: Brand New. 232 pages. 10.75x8.50x1.25 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Pandemiq COVID-19 stala krupnejshim pererywom w sisteme shkol'nogo obrazowaniq za wsü istoriü chelowechestwa, zatronuw pochti 1,6 milliarda uchaschihsq w bolee chem 200 stranah mira. Prekraschenie raboty shkol, fondow i drugih uchebnyh zawedenij zatronulo bolee 94% mirowogo naseleniq, obuchaüschegosq w shkolah, chto ne moglo ne priwesti k radikal'nym izmeneniqm wo wseh sferah nashej zhizni.Social'noe otstranenie i zapretitel'nye mery razwitiq polnost'ü narushili priwychnuü praktiku obucheniq. Vozobnowlenie raboty shkol posle prekrascheniq ogranichenij - äto esche odno ispytanie s mnozhestwom nowyh standartnyh rabochih strategij, sozdannyh w ramkah ogranichennyh wozmozhnostej sosredotochit'sq na pandemii covid-19, mnogochislennye uchenye podelilis' swoimi soobrazheniqmi o prepodawanii i obuchenii neozhidannym obrazom. V nekotoryh shkolah, uniwersitetah i kolledzhah prekratilis' uroki 'glaza w glaza'. Suschestwuet opasenie poterqt' 2020 uchebnyj god ili gorazdo bol'she w blizhajshem buduschem. Neobhodimo razrabotat' i wnedrit' sistemu fakul'tatiwnyh zanqtij i sistemy ocenki. Pandemiq wozmuscheniq covid-19 predostawila nam wozmozhnost' prolozhit' put' k wnedreniü cifrowogo obucheniq.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La pandémie de COVID-19 a provoqué la plus grande interruption de l'enseignement dans l'histoire de l'humanité, influençant près de 1,6 milliard d'étudiants dans plus de 200 pays. La fermeture d'écoles, de fondations et d'autres espaces d'apprentissage a affecté plus de 94% de la population étudiante mondiale.L'élimination sociale et les dispositions de développement prohibitives ont bouleversé les pratiques éducatives habituelles. La reprise des écoles après la levée des restrictions est une autre épreuve, avec la mise en place de nombreuses nouvelles stratégies de travail standard. Dans le cadre de leur capacité limitée à se concentrer sur la pandémie de covid-19, de nombreux scientifiques ont partagé leurs expériences en matière d'enseignement et d'apprentissage d'une manière inattendue. Quelques écoles, universités et collèges ont cessé de dispenser des cours dans les yeux. On redoute de perdre une année scolaire 2020 ou plus dans un avenir proche. Le besoin le plus important est de développer et de mettre en place des systèmes d'évaluation et un cadre d'enseignement facultatif. La pandémie d'indignation covid-19 nous a donné l'occasion d'ouvrir la voie à l'introduction de l'apprentissage numérique.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnDoktor Prawin Kumar Mannepalli rabotaet professorom w Uniwersitete LNCT, Bhopal. Imeet dwadcatiletnij opyt prepodawaniq. Pod ego rukowodstwom byli polucheny stepeni M.Tech i Phd w oblasti komp ueternyh nauk i inzhenerii.G-z.…