[PDF.08rk] Mastering Probabilistic Graphical Models using Python

Mastering Probabilistic Graphical Models using Python

[PDF.wm42] Mastering Probabilistic Graphical Models using Python

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 | #569200 in Books |  2015-08-03 |  2015-08-03 | Original language:English | PDF # 1 |  9.25 x.64 x7.50l,1.08 | File type: PDF | 287 pages

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||0 of 0 people found the following review helpful.| Highly recommend for PGM|By AlfredO|The subject is covered well and with lots of code examples. I found it very readable even though this was my first contact with PGM|3 of 3 people found the following review helpful.| Works well with the Coursera PGM class|By rdasxy|I bought this book while still parallelly working through Da|About the Author||Ankur Ankan |Ankur Ankan is a BTech graduate from IIT (BHU), Varanasi. He is currently working in the field of data science. He is an open source enthusiast and his major work includes starting pgmpy with four other members. In his free

Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

About This Book

• Gain in-depth knowledge of Probabilistic Graphical Models
• Model time-series problems using Dynamic Bayesian Networks
• A practical guide to help you apply PGMs to real-world problems

Who This Book Is For

If you are a researcher or a machine learning enthusiast, or are working...

You easily download any file type for your gadget.Mastering Probabilistic Graphical Models using Python   |  Ankur Ankan, Abinash Panda. I really enjoyed this book and have already told so many people about it!

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