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Enabling AI Applications in Data Science (in English)
Hassanien, Aboul-Ella ; Taha, Mohamed Hamed N. ; Khalifa, Nour Eldeen M. (Author)
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Springer
· Paperback
Enabling AI Applications in Data Science (in English) - Hassanien, Aboul-Ella ; Taha, Mohamed Hamed N. ; Khalifa, Nour Eldeen M.
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Synopsis "Enabling AI Applications in Data Science (in English)"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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