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hassanien aboul-ella (curatore); taha mohamed hamed n. (curatore); khalifa nour eldeen m. (curatore) - enabling ai applications in data science

Enabling AI Applications in Data Science

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2020
Edizione: 1st ed. 2021





Trama

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.




Sommario

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.- Identi?ability of Discrete Concentration Graphical Models with a Latent Variable.- An Automatic Classi?cation of Genetic Mutations by Exploring Different Classi?ers.- Towards Artificial Intelligence: Concepts, Applications, and Innovations.- Part II: Big Data and Artificial Intelligence Applications.- In Depth Analysis, Applications and Future Issues of Arti?cial 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.










Altre Informazioni

ISBN:

9783030520663

Condizione: Nuovo
Collana: Studies in Computational Intelligence
Dimensioni: 235 x 155 mm
Formato: Copertina rigida
Illustration Notes:IX, 650 p. 220 illus., 154 illus. in color.
Pagine Arabe: 650
Pagine Romane: ix


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