This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhanc
Building probabilistic graphical models with Python : solve machine learning problems using probabalistic graphical models implemented in Python with real-world applications
โ Scribed by Kiran R Karkera
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 155
- Series
- Community experience distilled
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Graphical modeling (Statistics);Python (Computer program language);Graph theory.;Computer graphics.;Image processing.;Probabilities.
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