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Enabling AI applications in data science
~
Hassanien, Aboul-Ella.
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Enabling AI applications in data science
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Enabling AI applications in data science/ edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
其他作者:
Hassanien, Aboul-Ella.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
ix, 650 p. :ill., digital ;24 cm.
內容註:
Part I: Artificial Intelligence and Optimization -- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models -- The Human Mental Search Algorithm for Solving Optimisation Problems -- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic -- Identifiability of Discrete Concentration Graphical Models with a Latent Variable -- An Automatic Classification of Genetic Mutations by Exploring Different Classifiers -- Towards Artificial Intelligence: Concepts, Applications, and Innovations -- Part II: Big Data and Artificial Intelligence Applications -- In Depth Analysis, Applications and Future Issues of Artificial Neural Network -- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture -- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-52067-0
ISBN:
9783030520670
Enabling AI applications in data science
Enabling AI applications in data science
[electronic resource] /edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa. - Cham :Springer International Publishing :2021. - ix, 650 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9111860-949X ;. - Studies in computational intelligence ;v.911..
Part I: Artificial Intelligence and Optimization -- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models -- The Human Mental Search Algorithm for Solving Optimisation Problems -- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic -- Identifiability of Discrete Concentration Graphical Models with a Latent Variable -- An Automatic Classification of Genetic Mutations by Exploring Different Classifiers -- Towards Artificial Intelligence: Concepts, Applications, and Innovations -- Part II: Big Data and Artificial Intelligence Applications -- In Depth Analysis, Applications and Future Issues of Artificial Neural Network -- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture -- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.
This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
ISBN: 9783030520670
Standard No.: 10.1007/978-3-030-52067-0doiSubjects--Topical Terms:
516317
Artificial intelligence.
LC Class. No.: Q335 / .E53 2021
Dewey Class. No.: 006.3
Enabling AI applications in data science
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This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
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