ISBN: 9798296420428 - the theory of markov chains: how a simple idea powers text, traffic and technology (14 resultados)

Condición: New. Monroe, Eli (ilustrador).

Paperback. Condición: New. Monroe, Eli (ilustrador).

Paperback. Condición: New. Monroe, Eli (ilustrador).

Condición: As New. Unread book in perfect condition. Monroe, Eli (ilustrador).

Condición: New. Monroe, Eli (ilustrador).

Condición: As New. Unread book in perfect condition. Monroe, Eli (ilustrador).

Paperback. Condición: New. Monroe, Eli (ilustrador).

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Paperback. Condición: new. Paperback. The Theory of Markov ChainsHow a Simple Idea Powers Text, Traffic, and TechnologyMarkov chains are one of the most quietly powerful tools in applied mathematics. They help us predict the weather, model language, manage financial risk, and power search engines. Yet despite their widespread use, they are often misunderstood or overlooked.This book offers a clear and complete introduction to Markov chains, blending rigorous explanation with real-world relevance. From their origins in early probability theory to their modern applications in AI, finance, biology, and technology, the book takes readers on a structured and engaging journey through the full landscape of Markov models.Written in an accessible style, it avoids unnecessary abstraction and instead focuses on clarity, insight, and utility. It begins with the basics states, transitions, and probabilities and gradually builds toward advanced topics like hidden Markov models, stationary distributions, and decision processes. Along the way, readers will explore how these concepts apply to natural language processing, game design, credit modeling, traffic prediction, and more.Whether you are a student, a researcher, or a working professional, this book provides the foundation and context needed to understand and apply Markov chains effectively. It also includes hands-on coding examples in Python and a final toolkit chapter with practical resources and project ideas. If you want to understand how a single mathematical concept can explain so much of the world around you, this book is your guide.You will learn: What Markov chains are, and how they workHow to model systems using transition matrices and state diagramsWhere Markov chains are used in modern science and technologyHow to build your own Markov models from scratchWhen Markov chains are effective, and when they are not This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Monroe, Eli (ilustrador). …

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Monroe, Eli (ilustrador).

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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Monroe, Eli (ilustrador).

Paperback. Condición: New. Monroe, Eli (ilustrador).

Paperback. Condición: new. Paperback. The Theory of Markov ChainsHow a Simple Idea Powers Text, Traffic, and TechnologyMarkov chains are one of the most quietly powerful tools in applied mathematics. They help us predict the weather, model language, manage financial risk, and power search engines. Yet despite their widespread use, they are often misunderstood or overlooked.This book offers a clear and complete introduction to Markov chains, blending rigorous explanation with real-world relevance. From their origins in early probability theory to their modern applications in AI, finance, biology, and technology, the book takes readers on a structured and engaging journey through the full landscape of Markov models.Written in an accessible style, it avoids unnecessary abstraction and instead focuses on clarity, insight, and utility. It begins with the basics states, transitions, and probabilities and gradually builds toward advanced topics like hidden Markov models, stationary distributions, and decision processes. Along the way, readers will explore how these concepts apply to natural language processing, game design, credit modeling, traffic prediction, and more.Whether you are a student, a researcher, or a working professional, this book provides the foundation and context needed to understand and apply Markov chains effectively. It also includes hands-on coding examples in Python and a final toolkit chapter with practical resources and project ideas. If you want to understand how a single mathematical concept can explain so much of the world around you, this book is your guide.You will learn: What Markov chains are, and how they workHow to model systems using transition matrices and state diagramsWhere Markov chains are used in modern science and technologyHow to build your own Markov models from scratchWhen Markov chains are effective, and when they are not This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Monroe, Eli (ilustrador). …