Enabling AI applications in data science
Hassanien, Aboul-Ella.

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  • Enabling AI applications in data science
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Enabling AI applications in data science/ edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
    其他作者: Hassanien, Aboul-Ella.
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: ix, 650 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence. -
    電子資源: https://doi.org/10.1007/978-3-030-52067-0
    ISBN: 9783030520670
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