Enabling AI Applications in Data Science (Paperback)
Paperback 650 pages English Oct 08, 2021
(No reviews yet)
Write a Review
Write a Review
Springer
Enabling AI Applications in Data Science (Paperback)
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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.
- Author:
- Aboul-Ella Hassanien|Mohamed Hamed N. Taha|Nour Eldeen M. Khalifa
- Publisher:
- Springer
- Publication Date:
- Oct 08, 2021
- Number of pages:
- 650 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 3030520692
- ISBN-13:
- 9783030520694