Chapmann, Joshua
Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
- ISBN 13:
- 9781978304871
- author:
- Chapmann, Joshua
- format:
- Paperback
- publisher:
- Createspace Independent Publishing Platform
- language:
- English
- Publication Year:
- 2017
- Pages:
- 106
- Dimensions:
- 22.9 x 15.2 x 0.6 centimetres (0
- Genre:
- Science, Mathematics, Arithmetic,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks by Joshua Chapmann. This book explores the fundamental property of "memorylessness" in predictive models, which states that the outcome of a problem depends only on the current state of the system. By considering only the present state, algorithms become highly scalable, stable, fast and versatile. The author delves into the mathematics and high-level concepts behind Markov Models, extending the understanding of the subject beyond the simple model. You will learn about the foundations of Markov Models, including Markov Chains, a case study on Google PageRank, Hidden Markov Models, and Bayesian Networks. This book is ideal for those looking to gain a deeper understanding of these predictive techniques and their applications in various fields. The book covers key concepts such as inference tasks, providing a comprehensive introduction to the subject.
Related Products
Related Products
Markov Chains and Invariant Probabilities (Progress in Mathematics)
HernandezLerma, Onesimo
Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics)
Norris, J. R.
Understanding Markov Chains: Examples and Applications (Springer Undergraduate Mathematics Series)
Privault, Nicolas
Markov Processes: Volume II (Grundlehren der mathematischen Wissenschaften)
Dynkin, E. B.
Svetozar Markovic and the Origins of Balkan Socialism (Princeton Legacy Library)
Woodford D. McClellan