Building Probabilistic Graphical Models with Python






[PDF.qt17] Building Probabilistic Graphical Models with Python
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 | #1392006 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

||0 of 0 people found the following review helpful.| Riddled With Programming Errors|By Dr. Charles Saunders|If you are an inexperienced programmer or new to Python/Jupyter/Anaconda DO NOT BUY THIS OR ANY OTHER PACKT Publishing book as the code contains errors that are difficult to rectify. Packt Publishing DOES NOT verify code like the CRC Press - for instance, Bayesian Networks in R by CRC press - i.e. Probabilistic Graphical|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 gadget.Building Probabilistic Graphical Models with Python   |  Kiran R Karkera. I really enjoyed this book and have already told so many people about it!

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