Probability for Statistics and Machine Learning is popular PDF and ePub book, written by Anirban DasGupta in 2011-05-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Probability for Statistics and Machine Learning can be Read Online from any device for your convenience.
Probability for Statistics and Machine Learning Book PDF Summary
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 probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.
Detail Book of Probability for Statistics and Machine Learning PDF
- Author : Anirban DasGupta
- Release : 17 May 2011
- Publisher : Springer Science & Business Media
- ISBN : 9781441996343
- Genre : Mathematics
- Total Page : 796 pages
- Language : English
- PDF File Size : 8,7 Mb
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