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Enabling AI Applications in Data Science

Editat de Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa
en Limba Engleză Paperback – 25 sep 2021
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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Specificații

ISBN-13: 9783030520694
ISBN-10: 3030520692
Pagini: 660
Ilustrații: IX, 650 p. 220 illus., 154 illus. in color.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.98 kg
Ediția:1st ed. 2021
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Provides a detailed overview on latest advancements and applications in the field of Applied Artificial Intelligence and Data Science Demonstrates how AI applications have achieved great accuracy and performance with the help of the advancements in data processing and storage Written by experts in the field