(Mobile library) Building Probabilistic Graphical Models with Python






 | #1550332 in Books |  2014-05-25 |  2014-06-25 | Original language:English | PDF # 1 |  9.25 x.39 x7.50l,.67 | File Name: 1783289007 | 172 pages


||16 of 18 people found the following review helpful.| All Equations and Code are Unreadable Gibberish on Kindle Version - Do Not Buy!|By Tungsten|This review is for the Kindle version only, I have not read the print version.
This is a book concerning math, as such it has lots of formulas.
Those formulas are completely scrambled and mostly undecipherable on all platforms.
I have included a screen shot of a typica|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 ma

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-ste...


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