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Can I read Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems Book 18) on EtoBox?
Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems Book 18) by George A. Tsihrintzis, Lakhmi C. Jain, Aristomenis S. Lampropoulos is a mathematics available to read on EtoBox.
What is Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems Book 18) about?
<p>At the dawn of the 4th Industrial Revolution, the field of <i>Deep Learning</i> (a sub-field of <i>Artificial Intelligence</i> and <i>Machine Learning</i>) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in <i>deep learning-based technological applications</i> and consists of an editorial note and an additi
Who reads Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems Book 18)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- George A. Tsihrintzis, Lakhmi C. Jain, Aristomenis S. Lampropoulos
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030497231
- Category
- mathematics
- Subjects
- Mathematics, Engineering, Technology
- Updated
- 2026-03-25
Other editions & translations
- 机器学习范式 (2020)
- Machine Learning Paradigms: Advances in Learning Analytics (Intelligent Systems Reference Library, 158) (2020)
- Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems (2019)
- Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149) (2019)
- Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library Book 92) (2015)
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