Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載


Probability for Statistics and Machine Learning

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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.

Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載

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Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載

Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載

Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載



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出版者:Springer
作者:Anirban DasGupta
出品人:
頁數:801
譯者:
出版時間:2011-5-1
價格:USD 99.00
裝幀:Hardcover
isbn號碼:9781441996336
叢書系列:Springer Texts in Statistics

圖書標籤: 機器學習  概率  統計  統計學  概率統計  Statistics  ML  計算機科學   


Probability for Statistics and Machine Learning 2024 pdf epub mobi 電子書 下載
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