Compartir
Enabling AI Applications in Data Science
Hassanien, Aboul-Ella ; Taha, Mohamed Hamed N. ; Khalifa, Nour Eldeen M. (Autor)
·
Springer
· Tapa Blanda
Enabling AI Applications in Data Science - Hassanien, Aboul-Ella ; Taha, Mohamed Hamed N. ; Khalifa, Nour Eldeen M.
Sin Stock
Te enviaremos un correo cuando el libro vuelva a estar disponible
Reseña del libro "Enabling AI Applications in Data Science"
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.
