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Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks: Volume 3 (Advanced Data Analytics) - Softcover
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Markov Models
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- PublisherCreateSpace Independent Publishing Platform
- Publication date2017
- ISBN 10 1978304870
- ISBN 13 9781978304871
- BindingPaperback
- LanguageEnglish
- Number of pages104
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Markov Models : Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
Published by
CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
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Softcover
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Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
Published by
Createspace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
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Paperback
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Markov Models : Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
Published by
CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
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Softcover
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Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 31424102
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Markov Models (Paperback)
Published by
Createspace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
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Paperback
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Paperback. Condition: new. Paperback. What is a MEMORYLESS predictive model? Markov models are a powerful predictive technique used to model stochastic systems using time-series data. They are centered around the fundamental property of "memorylessness", stating that the outcome of a problem depends only on the current state of the system - historical data must be ignored. This model construction may sound overly simplistic. After all, if you have historical data why not use it to develop more complete and well-informed models? Surely, it would lead to more accurate predictions. However, when modelling time-series data where previous results are of limited relevance, a memoryless model delivers vast performance advantages. By considering only the present state, algorithms become highly scalable, stable, fast and, above-all-else, extremely versatile. Speech recognition is a perfect example - nearly all of today's speech recognition algorthms are built using Markov Models. In this book we will explore why a Memoryless predictive model can be so advantageous to the modern tech industry. We will take a look at fundamental mathematics and high-level concepts alike, extending our understanding of the subject beyond the simple Markov Model. You will learn. Foundations of Markov ModelsMarkov ChainsCase Study: Google PageRankHidden Markov ModelsBayesian NetworksInference Tasks Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781978304871
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Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks (Advanced Data Analytics)
Published by
CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9781978304871
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Markov Models : Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
Published by
CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
New
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 31424102-n
Quantity: Over 20 available
Seller Image
Markov Models : Introduction to Markov Chains, Hidden Markov Models and Bayesian Networks
Published by
CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1978304870
ISBN 13: 9781978304871
Used
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 31424102
Quantity: Over 20 available