[PDF.78of] Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

[PDF.ks85] Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

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 | #8907486 in Books |  ANIRBAN DASGUPTA |  2013-07-14 |  2013-07-14 | Original language:English | PDF # 1 |  9.25 x1.82 x6.10l,2.44 | File type: PDF | 784 pages

 | Probability for Statistics and Machine Learning Fundamentals and Advanced Topics Springer Texts in Statistics

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||7 of 8 people found the following review helpful.| Perfect companion for users of probability theory|By Hyokun Yun|I strongly recommend this book as a reference book for those who apply probability theory in their work: computer scientists, applied statisticians, industrial engineers and so on. This book is very comprehensive: in every topic this book discusses, from very basic undergrad facts to modern probability theory resul

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of ...

You can specify the type of files you want, for your gadget.Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)   |  Anirban DasGupta. I really enjoyed this book and have already told so many people about it!

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