Enabling AI Applications in Data Science
Springer International Publishing (Verlag)
978-3-030-52066-3 (ISBN)
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.
Erscheinungsdatum | 25.09.2020 |
---|---|
Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | IX, 650 p. 220 illus., 154 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1148 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | applied AI • Big Data • Computational Intelligence • data analytics • Data Science |
ISBN-10 | 3-030-52066-8 / 3030520668 |
ISBN-13 | 978-3-030-52066-3 / 9783030520663 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich