Stochastic Processes and Simulations : A Machine Learning Perspective: A Machine Learning Perspective

By Granville, Vincent, Ph.D.

Book Id: WPLBN0100304198
Format Type: PDF eBook:
File Size: 0.1 MB
Reproduction Date: 6/23/2022

Title:	Stochastic Processes and Simulations : A Machine Learning Perspective: A Machine Learning Perspective
Author:	Granville, Vincent, Ph.D.
Volume:
Language:	English
Subject:	Non Fiction, Science
Collections:	Authors Community, Science
Historic Publication Date:	2022
Publisher:	Machine Learning Techniques

Member Page:
Citation APA MLA Chicago Vincent Granville, B. P. (2022). Stochastic Processes and Simulations : A Machine Learning Perspective. Retrieved from http://self.gutenberg.org/

Description
Written for machine learning practitioners, software engineers and other analytic professionals interested in expanding their toolset and mastering the art. Discover state-of-the-art techniques explained in simple English, applicable to many modern problems, especially related to spatial processes and pattern recognition. This textbook includes numerous visualization techniques (for instance, data animations using video libraries in R), a true test of independence, simple illustration of dual confidence regions (more intuitive than the classic version), minimum contrast estimation (a simple generic estimation technique encompassing maximum likelihood), model fitting techniques, and much more. The scope of the material extends far beyond stochastic processes.

Summary
This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.