Logo

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science

Small book cover: From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
by

Publisher: University of California, Davis
ISBN/ASIN: 1616100362
Number of pages: 486

Description:
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security; remote sensing; computer performance evaluation; software engineering; data management; etc.

Home page url

Download or read it online for free here:
Download link
(3.4MB, PDF)

Similar books

Book cover: Modelling and SimulationModelling and Simulation
by - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
(18334 views)
Book cover: Computer Simulation Techniques - The Definitive IntroductionComputer Simulation Techniques - The Definitive Introduction
by - NC State University
The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.
(19270 views)
Book cover: Simulated AnnealingSimulated Annealing
by - IN-TECH
This book provides the readers with the knowledge of Simulated Annealing and its applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.
(17622 views)
Book cover: Fuzzy SystemsFuzzy Systems
by - InTech
This book is intended to present fuzzy logic systems and useful applications with a simple approach. It is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.
(14398 views)