Hands-On Network Machine Learning with Python
Language: English
Published by Cambridge University Press, GB, 2025
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 72.21
Quantity: Over 20 available
Add to basketItem description from seller
Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-world applications using Python frameworks including NumPy, SciPy, scikit-learn, graspologic, and NetworkX. Readers will learn to apply network machine learning techniques to real-world problems, transform complex network structures into meaningful representations, leverage Python libraries for efficient network analysis, and interpret network data and results. The book explores methods for extracting valuable insights across various domains such as social networks, ecological systems, and brain connectivity. Hands-on tutorials and concrete examples develop intuition through visualization and mathematical reasoning. The book will equip data scientists, students, and researchers in applications using network data with the skills to confidently tackle network machine learning projects, providing a robust toolkit for data science applications involving network-structured data. …
Seller Inventory # LU-9781009405393
- Title
- Hands-On Network Machine Learning with Python
- Author
- Eric W. Bridgeford, Alexander R. Loftus, Joshua T. Vogelstein
- Publisher
- Cambridge University Press, GB
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 100940539X
- ISBN 13
- 9781009405393
- Item weight
- 915 grams
"Synopsis" may belong to another edition of this title.
About the Author
Alexander R. Loftus is a doctoral student in David Bau's group in the Department of Computer Science at Northeastern University, studying interpretability in deep neural networks. He has worked on implementing network algorithms in Python. He won first place in a $100,000 Kaggle competition and has published work in top AI/ML conferences.
Joshua T. Vogelstein is Associate Professor of Biomedical Engineering at Johns Hopkins University. His research intersects natural and artificial intelligence, applying machine learning to biomedical challenges. He has published extensively in top scientific and AI venues, received numerous grants, and co-founded successful startups in quantitative finance and software development.
"About the title" may belong to another edition of this title.
Rarewaves.com USA
London, London, United Kingdom
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