Book titles in this series
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Introduction to Transfer Learning
Algorithms and Practice
- Authors:
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- Jindong Wang
- Yiqiang Chen
- Copyright: 2023
Available Renditions
- Hard cover
- Soft cover
- eBook
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Unsupervised Domain Adaptation
Recent Advances and Future Perspectives
- Authors:
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- Jingjing Li
- Lei Zhu
- Zhekai Du
- Copyright: 2024
Available Renditions
- Hard cover
- eBook
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Robust Machine Learning
Distributed Methods for Safe AI
- Authors:
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- Rachid Guerraoui
- Nirupam Gupta
- Rafael Pinot
- Copyright: 2024
Available Renditions
- Hard cover
- eBook
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Evolutionary Multi-Task Optimization
Foundations and Methodologies
- Authors:
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- Liang Feng
- Abhishek Gupta
- Kay Chen Tan
- Yew Soon Ong
- Copyright: 2023
Available Renditions
- Hard cover
- Soft cover
- eBook
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Online Machine Learning
A Practical Guide with Examples in Python
- Editors:
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- Eva Bartz
- Thomas Bartz-Beielstein
- Copyright: 2024
Available Renditions
- Hard cover
- eBook
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Concise Guide to Quantum Machine Learning
- Authors:
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- Davide Pastorello
- Copyright: 2023
Available Renditions
- Hard cover
- Soft cover
- eBook
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Federated Learning
Fundamentals and Advances
- Authors:
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- Yaochu Jin
- Hangyu Zhu
- Jinjin Xu
- Yang Chen
- Copyright: 2023
Available Renditions
- Hard cover
- Soft cover
- eBook
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Artificial Intelligence in Business Management
- Authors:
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- Teik Toe Teoh
- Yu Jin Goh
- Copyright: 2023
Available Renditions
- Hard cover
- eBook
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Machine Learning
The Basics
- Authors:
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- Alexander Jung
- Copyright: 2022
Available Renditions
- Hard cover
- Soft cover
- eBook