Wine Quality Analysis Using Artificial Intelligence and Machine Learning: AI AND ML Approach - Couverture souple

Agarkar, Pankaj ; Mahajan, Anita ; Sharma, Neha

9786206766896: Wine Quality Analysis Using Artificial Intelligence and Machine Learning: AI AND ML Approach

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ISBN 10 : 6206766896 ISBN 13 : 9786206766896

Editeur : LAP LAMBERT Academic Publishing, 2023

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 6206766896
ISBN 13: 9786206766896
Reliure: Broch�
Nombre de pages: 84
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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Agarkar, Pankaj; MAHAJAN, ANITA; Sharma, Neha

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Agarkar, Pankaj; MAHAJAN, ANITA; Sharma, Neha

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Agarkar, Pankaj; MAHAJAN, ANITA; Sharma, Neha

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Pankaj Agarkar

Edit� par LAP LAMBERT Academic Publishing Aug 2023, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786206766896

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Agarkar, Pankaj|Mahajan, Anita|Sharma, Neha

Edit� par LAP Lambert Academic Publishing, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Etat : 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. N� de r�f. du vendeur 1083997458

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning

Pankaj Agarkar

Edit� par LAP LAMBERT Academic Publishing Aug 2023, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

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Taschenbuch. Etat : 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 Landstra�e 99, 66123 Saarbr�cken 84 pp. Englisch. N� de r�f. du vendeur 9786206766896

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Wine Quality Analysis Using Artificial Intelligence and Machine Learning : AI AND ML Approach

Pankaj Agarkar

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206766896 ISBN 13 : 9786206766896

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786206766896

Contacter le vendeur