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Enabling AI applications in data science

Hassanien, Aboul-Ella.

Enabling AI applications in data science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Enabling AI applications in data scienceedited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
other author:	Hassanien, Aboul-Ella.
Published:	Cham :Springer International Publishing :2021.
Description:	ix, 650 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-030-52067-0
ISBN:	9783030520670$q(electronic bk.)

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. 216..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-52067-0doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .E53 2021

Dewey Class. No.: 006.3

Enabling AI applications in data science
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505 0 $a 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.
520 $a 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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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)