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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback. Condition: New. Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract valuable insightsUse natural language processing (NLP) techniques and 2D-HMM model for image segmentationBook DescriptionHidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.Once you've covered the basic concepts of Markov chains, you'll get insights into Markov processes, models, and types with the help of practical examples. After grasping these fundamentals, you'll move on to learning about the different algorithms used in inferences and applying them in state and parameter inference. In addition to this, you'll explore the Bayesian approach of inference and learn how to apply it in HMMs.In further chapters, you'll discover how to use HMMs in time series analysis and natural language processing (NLP) using Python. You'll also learn to apply HMM to image processing using 2D-HMM to segment images. Finally, you'll understand how to apply HMM for reinforcement learning (RL) with the help of Q-Learning, and use this technique for single-stock and multi-stock algorithmic trading.By the end of this book, you will have grasped how to build your own Markov and hidden Markov models on complex datasets in order to apply them to projects.What you will learnExplore a balance of both theoretical and practical aspects of HMMImplement HMMs using different datasets in Python using different packagesUnderstand multiple inference algorithms and how to select the right algorithm to resolve your problemsDevelop a Bayesian approach to inference in HMMsImplement HMMs in finance, natural language processing (NLP), and image processingDetermine the most likely sequence of hidden states in an HMM using the Viterbi algorithmWho this book is forHands-On Markov Models with Python is for you if you are a data analyst, data scientist, or machine learning developer and want to enhance your machine learning knowledge and skills. This book will also help you build your own hidden Markov models by applying them to any sequence of data.Basic knowledge of machine learning and the Python programming language is expected to get the most out of the book.
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Mastering Probabilistic Graphical Models Using Python
Language: English
Published by Packt Publishing - ebooks Account, 2015
ISBN 10: 1784394688 ISBN 13: 9781784394684
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Add to basketPaperback. Condition: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing 2018-09, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
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Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
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Mastering Probabilistic Graphical Models Using Python
Language: English
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1784394688 ISBN 13: 9781784394684
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Hands-On Markov Models with Python
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Hands-On Markov Models with Python
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Mastering Probabilistic Graphical Models using Python
Language: English
Published by Packt Publishing 2015-07, 2015
ISBN 10: 1784394688 ISBN 13: 9781784394684
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Mastering Probabilistic Graphical Models Using Python: Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
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Mastering Probabilistic Graphical Models Using Python : Master Probabilistic 'graphical Models by Learning Through Real-world Problems and Illustrative Code Examples in Python
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Mastering Probabilistic Graphical Models Using Python : Master Probabilistic 'graphical Models by Learning Through Real-world Problems and Illustrative Code Examples in Python
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Condition: New. This book will help you become familiar with HMMs and different inference algorithms by working on real-world problems. You will start with an introduction to the basic concepts of Markov chains, Markov processes and then delve deeper into understanding hid.
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
US$ 45.65
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract valuable insightsUse natural language processing (NLP) techniques and 2D-HMM model for image segmentationBook DescriptionHidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.Once you've covered the basic concepts of Markov chains, you'll get insights into Markov processes, models, and types with the help of practical examples. After grasping these fundamentals, you'll move on to learning about the different algorithms used in inferences and applying them in state and parameter inference. In addition to this, you'll explore the Bayesian approach of inference and learn how to apply it in HMMs.In further chapters, you'll discover how to use HMMs in time series analysis and natural language processing (NLP) using Python. You'll also learn to apply HMM to image processing using 2D-HMM to segment images. Finally, you'll understand how to apply HMM for reinforcement learning (RL) with the help of Q-Learning, and use this technique for single-stock and multi-stock algorithmic trading.By the end of this book, you will have grasped how to build your own Markov and hidden Markov models on complex datasets in order to apply them to projects.What you will learnExplore a balance of both theoretical and practical aspects of HMMImplement HMMs using different datasets in Python using different packagesUnderstand multiple inference algorithms and how to select the right algorithm to resolve your problemsDevelop a Bayesian approach to inference in HMMsImplement HMMs in finance, natural language processing (NLP), and image processingDetermine the most likely sequence of hidden states in an HMM using the Viterbi algorithmWho this book is forHands-On Markov Models with Python is for you if you are a data analyst, data scientist, or machine learning developer and want to enhance your machine learning knowledge and skills. This book will also help you build your own hidden Markov models by applying them to any sequence of data.Basic knowledge of machine learning and the Python programming language is expected to get the most out of the book.
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Mastering Probabilistic Graphical Models Using Python
Language: English
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1784394688 ISBN 13: 9781784394684
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing Limited, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing Limited, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hands-On Markov Models with Python
Language: English
Published by Packt Publishing, Limited, 2018
ISBN 10: 1788625447 ISBN 13: 9781788625449
Condition: New. Print on Demand pp. 178.
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Mastering Probabilistic Graphical Models Using Python Master probabilistic graphical models by learning through realworld problems and illustrative code examples in Python
Language: English
Published by Packt Publishing Limited, 2015
ISBN 10: 1784394688 ISBN 13: 9781784394684
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Mastering Probabilistic Graphical Models Using Python Master probabilistic graphical models by learning through realworld problems and illustrative code examples in Python
Language: English
Published by Packt Publishing Limited, 2015
ISBN 10: 1784394688 ISBN 13: 9781784394684
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
