Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

The Probability Companion for Engineering and Computer Science, Paperback / softback Book

The Probability Companion for Engineering and Computer Science Paperback / softback

Paperback / softback

Description

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools.

The book provides a high-level view of probability and its most powerful applications.

It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes.

It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world.

Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning.

The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

Information

Save 2%

£44.99

£43.95

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information