Agarkar Pankaj (75 results)

Taschenbuch. Condition: Neu. Wine Quality Analysis Using Artificial Intelligence and Machine Learning | AI AND ML Approach | Pankaj Agarkar (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206766896 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. IOT ENABLED GREEN CLOUD COMPUTING | IoT Middle ware Communication Architecture | Pankaj Agarkar | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204211213 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Analyse de la qualité du vin à l'aide de l'intelligence artificielle et de l'apprentissage automatique | Pankaj Agarkar (u. a.) | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786206404545 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condition: New.

Taschenbuch. Condition: Neu. CLOUD COMPUTING VERT ACTIVÉ PAR L'IOT | Architecture de communication IoT Middle ware | Pankaj Agarkar | Taschenbuch | Französisch | 2022 | Editions Notre Savoir | EAN 9786204898438 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Analiz kachestwa wina s ispol'zowaniem iskusstwennogo intellekta i mashinnogo obucheniq | Pankaj Agarkar (u. a.) | Taschenbuch | Russisch | 2023 | Sciencia Scripts | EAN 9786206404576 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Analisi della qualità del vino con l'intelligenza artificiale e il machine learning | Approccio AI e ML | Pankaj Agarkar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Italienisch | 2023 | Edizioni Sapienza | EAN 9786206404552 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Análise da qualidade do vinho com recurso à inteligência artificial e à aprendizagem automática | Pankaj Agarkar (u. a.) | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786206404569 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Analyse der Weinqualität mit künstlicher Intelligenz und maschinellem Lernen | Pankaj Agarkar (u. a.) | Taschenbuch | 92 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786206404521 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. ZELENYE OBLAChNYE VYChISLENIYa S PODDERZhKOJ IOT | Kommunikacionnaq arhitektura IoT Middle ware | Pankaj Agarkar | Taschenbuch | Russisch | 2022 | Sciencia Scripts | EAN 9786204898469 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. CLOUD COMPUTING VERDE ABILITATO ALL'IOT | Architettura di comunicazione middle ware IoT | Pankaj Agarkar | Taschenbuch | Italienisch | 2022 | Edizioni Sapienza | EAN 9786204898445 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. IOT HABILITADO GREEN CLOUD COMPUTING | IoT Arquitectura de comunicação de louça média | Pankaj Agarkar | Taschenbuch | Portugiesisch | 2022 | Edições Nosso Conhecimento | EAN 9786204898452 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. IOT-GESTÜTZTES GRÜNES CLOUD COMPUTING | IoT Middleware Kommunikationsarchitektur | Pankaj Agarkar | Taschenbuch | 296 S. | Deutsch | 2022 | Verlag Unser Wissen | EAN 9786204898384 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The wine quality is important for the consumers as well as for the wine industry. The traditional (expert wine tester) way of measuring wine quality might be expensive and time-consuming. Nowadays, machine learning models are foremost tools to replace human intervention. As a sub field of Artificial Intelligence (AI), Machine Learning (ML) aims to understand the structure of the data and fit it into models, which later can be used on unseen data to achieve the desired task. Machine Learning has been widely used in various sectors such as Businesses, Medical, and Astrophysics to name a few and many other scientific problems. Inspired by success of Artificial Intelligence in various different sectors here, we can use it for wine quality prediction based on various physicochemical properties of wine. Among various machine learning methods, we analyze the performance of Extremely randomized trees (Extra trees), Extreme Gradient Boosting (XG Boost) and Light gradient-boosting machine (Light GBM) ensemble ML methods. This work demonstrates how statistical data analysis can be used to identify the components that mainly control the wine quality prior to the production. 84 pp. Englisch. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La calidad del vino es importante tanto para los consumidores como para la industria vitivinícola. La forma tradicional (probador de vinos experto) de medir la calidad del vino puede resultar costosa y consumir mucho tiempo. Hoy en día, los modelos de aprendizaje automático son las principales herramientas para reemplazar la intervención humana. Como subcampo de la Inteligencia Artificial (IA), el Aprendizaje Automático (ML) tiene como objetivo comprender la estructura de los datos y encajarlos en modelos, que luego pueden usarse en datos invisibles para lograr la tarea deseada. El aprendizaje automático se ha utilizado ampliamente en diversos sectores, como el empresarial, el médico y el astrofísico, por nombrar algunos y muchos otros problemas científicos. Inspirándonos en el éxito de la Inteligencia Artificial en varios sectores diferentes, podemos utilizarla para predecir la calidad del vino en función de diversas propiedades fisicoquímicas del vino. Entre varios métodos de aprendizaje automático, analizamos el rendimiento de los métodos de aprendizaje automático conjunto de árboles extremadamente aleatorios (árboles adicionales), aumento de gradiente extremo (XG Boost) y máquina de aumento de gradiente ligero (Light GBM). Este trabajo demuestra cómo se puede utilizar el análisis de datos estadísticos para identificar los componentes que controlan principalmente la calidad del vino antes de la producción. 88 pp. Spanisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The wine quality is important for the consumers as well as for the wine industry. The traditional (expert wine tester) way of measuring wine quality might be expensive and time-consuming. Nowadays, machine learning models are foremost tools to replace human intervention. As a sub field of Artificial Intelligence (AI), Machine Learning (ML) aims to understand the structure of the data and fit it into models, which later can be used on unseen data to achieve the desired task. Machine Learning has been widely used in various sectors such as Businesses, Medical, and Astrophysics to name a few and many other scientific problems. Inspired by success of Artificial Intelligence in various different sectors here, we can use it for wine quality prediction based on various physicochemical properties of wine. Among various machine learning methods, we analyze the performance of Extremely randomized trees (Extra trees), Extreme Gradient Boosting (XG Boost) and Light gradient-boosting machine (Light GBM) ensemble ML methods. This work demonstrates how statistical data analysis can be used to identify the components that mainly control the wine quality prior to the production.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The wine quality is important for the consumers as well as for the wine industry. The traditional (expert wine tester) way of measuring wine quality might be expensive and time-consuming. Nowadays, machine learning models are foremost tools to replace human. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Kachestwo wina wazhno kak dlq potrebitelej, tak i dlq winodel'cheskoj promyshlennosti. Tradicionnyj sposob izmereniq kachestwa wina (äxpertnyj degustator win) mozhet byt' dorogim i trudoemkim. V nastoqschee wremq modeli mashinnogo obucheniq qwlqütsq glawnymi instrumentami, zamenqüschimi wmeshatel'stwo cheloweka. Mashinnoe obuchenie (ML), qwlqüscheesq podoblast'ü iskusstwennogo intellekta (II), naprawleno na ponimanie struktury dannyh i wstraiwanie ee w modeli, kotorye pozzhe mozhno ispol'zowat' s newidimymi dannymi dlq dostizheniq zhelaemoj zadachi. Mashinnoe obuchenie shiroko ispol'zuetsq w razlichnyh sektorah, takih kak biznes, medicina i astrofizika, i äto lish' nekotorye i mnogie drugie nauchnye problemy. Vdohnowlennye uspehom iskusstwennogo intellekta w razlichnyh otraslqh, my mozhem ispol'zowat' ego dlq prognozirowaniq kachestwa wina na osnowe razlichnyh fiziko-himicheskih swojstw wina. Sredi razlichnyh metodow mashinnogo obucheniq my analiziruem proizwoditel'nost' ansamblewyh metodow mashinnogo obucheniq s äxtremal'no randomizirowannymi derew'qmi (dopolnitel'nye derew'q), äxtremal'nogo powysheniq gradienta (XG Boost) i mashiny s legkim powysheniem gradienta (Light GBM). Jeta rabota demonstriruet, kak mozhno ispol'zowat' statisticheskij analiz dannyh dlq wyqwleniq komponentow, kotorye w osnownom kontroliruüt kachestwo wina pered ego proizwodstwom. 96 pp. Russisch.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La qualité du vin est importante pour les consommateurs ainsi que pour l'industrie du vin. La méthode traditionnelle (testeur de vin expert) pour mesurer la qualité du vin peut être coûteuse et prendre du temps. De nos jours, les modèles d'apprentissage automatique sont avant tout des outils destinés à remplacer l'intervention humaine. En tant que sous-domaine de l'intelligence artificielle (IA), l'apprentissage automatique (ML) vise à comprendre la structure des données et à les intégrer dans des modèles, qui peuvent ensuite être utilisés sur des données invisibles pour réaliser la tâche souhaitée. L'apprentissage automatique a été largement utilisé dans divers secteurs tels que les entreprises, la médecine et l'astrophysique pour n'en citer que quelques-uns et bien d'autres problèmes scientifiques. Inspirés par le succès de l'intelligence artificielle dans différents secteurs, nous pouvons l'utiliser pour prédire la qualité du vin en fonction de diverses propriétés physico-chimiques du vin. Parmi diverses méthodes d'apprentissage automatique, nous analysons les performances des méthodes ML d'ensemble d'arbres extrêmement aléatoires (arbres supplémentaires), d'Extreme Gradient Boosting (XG Boost) et de Light gradient-boosting machine (Light GBM). Ce travail démontre comment l'analyse de données statistiques peut être utilisée pour identifier les composants qui contrôlent principalement la qualité du vin avant la production. 88 pp. Französisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The wine quality is important for the consumers as well as for the wine industry. The traditional (expert wine tester) way of measuring wine quality might be expensive and time-consuming. Nowadays, machine learning models are foremost tools to replace human intervention. As a sub field of Artificial Intelligence (AI), Machine Learning (ML) aims to understand the structure of the data and fit it into models, which later can be used on unseen data to achieve the desired task. Machine Learning has been widely used in various sectors such as Businesses, Medical, and Astrophysics to name a few and many other scientific problems. Inspired by success of Artificial Intelligence in various different sectors here, we can use it for wine quality prediction based on various physicochemical properties of wine. Among various machine learning methods, we analyze the performance of Extremely randomized trees (Extra trees), Extreme Gradient Boosting (XG Boost) and Light gradient-boosting machine (Light GBM) ensemble ML methods. This work demonstrates how statistical data analysis can be used to identify the components that mainly control the wine quality prior to the production.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.…

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.