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Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python - Softcover
Synopsis
Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithms
Key Features
- Learn how to wrangle different types of datasets and analytics problems into networks
- Leverage graph theoretic algorithms to analyze data efficiently
- Apply the skills you gain to solve a variety of problems through case studies in Python
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
We are living in the age of big...
About the Author
Colleen M. Farrelly is a lead data scientist and researcher with a broad industry background in machine learning algorithms and domains of application. While her focus has been industry, she also publishes academically in geometry, network science, and natural language processing. Colleen earned a graduate degree in Biostatistics from the University of Miami. Her work history includes fields like nuclear engineering, public health, biotechnology, retail, educational technology,...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing - ebooks Account
- Publication date2024
- ISBN 10 1805127896
- ISBN 13 9781805127895
- BindingPaperback
- LanguageEnglish
- Number of pages290
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Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python
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