Sprache: Englisch
Verlag: World Scientific Publishing, 2024
Anbieter: Books in my Basket, New Delhi, Indien
Soft cover. Zustand: New. ISBN:9798886130942,pp.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, SG, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New. In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, Singapore, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
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Paperback. Zustand: new. Paperback. In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Zustand: New.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2023
ISBN 10: 9811271747 ISBN 13: 9789811271748
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Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2023
ISBN 10: 9811271747 ISBN 13: 9789811271748
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, SG, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 52,15
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In den WarenkorbPaperback. Zustand: New. In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, Singapore, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: WORLD SCIENTIFIC PUB CO INC, 2023
ISBN 10: 9811272042 ISBN 13: 9789811272042
Anbieter: moluna, Greven, Deutschland
EUR 53,70
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextIn this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It p.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. FIRST COURSE IN PROBABILITY FOR COMPUTER AND DATA SCIENCE, A | Tijms Henk | Taschenbuch | Kartoniert / Broschiert | Englisch | 2023 | World Scientific | EAN 9789811272042 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:Bayesian probability with real-life cases in law and medicine;Logistic regression and naïve Bayes;Real-world applications of probability;Interweaving Monte Carlo simulation and probability;Gentle introduction to Markov chains and Markov chain Monte Carlo simulation.This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.
Sprache: Englisch
Verlag: WORLD SCIENTIFIC PUB CO INC, 2023
ISBN 10: 9811271747 ISBN 13: 9789811271748
Anbieter: moluna, Greven, Deutschland
EUR 87,60
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextIn this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It p.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. FIRST COURSE IN PROBABILITY FOR COMPUTER AND DATA SCIENCE, A | Tijms Henk | Buch | Gebunden | Englisch | 2023 | World Scientific | EAN 9789811271748 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:Bayesian probability with real-life cases in law and medicine;Logistic regression and naïve Bayes;Real-world applications of probability;Interweaving Monte Carlo simulation and probability;Gentle introduction to Markov chains and Markov chain Monte Carlo simulation.This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.