Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications
Bookmark
ShareCopied to clipboardBuilding probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications is a book. It was written by Kiran R. Karkera and published by Packt Publishing in 2014.
Key facts
- author: Kiran R. Karkera
- publication date: 2014
- book publisher: Packt Publishing
- book series: Community experience distilled
- book subjects: Python (Computer program language), Graphical modeling (Statistics)
See more factsExtract data
Download datasets about Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications:
Dataset of books series that contain Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications:
Dataset of book subjects that contain Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications:
"Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications" is one of the books by Kiran R. Karkera, books by Packt Publishing and 2,617,384 books in our database.
Related
Connected or similar to Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications: .
This dashboard is based on data from: The British Library.
This content is available under the CC BY 4.0 license.