Main Stochastic Processes and Simulations – A Machine Learning Perspective
Book cover Stochastic Processes and Simulations – A Machine Learning Perspective

Stochastic Processes and Simulations – A Machine Learning Perspective

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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.
Request Code : ZLIBIO3360850
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Year:
2022
Edition:
2
Publisher:
Machine Learning Techniques
Language:
English
Pages:
96
ISBN 10:
057838406X
ISBN 13:
9780578384061
ISBN:
057838406X,9780578384061

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