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Enabling AI Applications in Data Science

Enabling AI Applications in Data Science

Hardcover

Series: Studies in Computational Intelligence, Book 911

Technology & EngineeringGeneral Computers

ISBN10: 3030520668
ISBN13: 9783030520663
Publisher: Springer Nature
Published: Sep 24 2020
Pages: 650
Weight: 2.25
Height: 1.70 Width: 6.50 Depth: 9.30
Language: 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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