First Course In Probability For Computer And Data Science, A
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A01=Henk Tijms
Author_Henk Tijms
Bayesian Inference
Bootstrapping
Category=PBT
Category=PBWL
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Gibbs Sampler
Importance Sampling
Logistic Regression
Markov Chain Monte Carlo Simulation
Monte Carlo Simulation
Poissonization
Product details
- ISBN 9789811271748
- Publication Date: 18 Jul 2023
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.
