[PDF.48ku] Building Probabilistic Graphical Models with Python
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Building Probabilistic Graphical Models with Python
Kiran R Karkera
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| #1269658 in Books | 2014-05-25 | 2014-06-25 | Original language:English | PDF # 1 | 9.25 x.39 x7.50l,.67 | File type: PDF | 172 pages||9 of 9 people found the following review helpful.| Useful Book for Programmers who want to use Graphical Models in Python|By satnam singh|“Building Probabilistic Graphical Models (PGMs) with Python” book is an excellent pick up for programmers who just want to know basics of the PGMs and quickly apply them to solve their analytical problems. Book’s author, Kiran has done an excellent work in collecting knowle|About the Author||Kiran R Karkera |Kiran R Karkera is a telecom engineer with a keen interest in machine learning. He has been programming professionally in Python, Java, and Clojure for more than 10 years. In his free time, he can be found attempting mac
Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications
About This Book
Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image processing and NLP
Solve real-world problems using Python libraries to run inferences using graphical models
A practical, step-by-step...
You can specify the type of files you want, for your device.Building Probabilistic Graphical Models with Python | Kiran R Karkera. I really enjoyed this book and have already told so many people about it!
