James burridge (30 resultados)
Idioma: Inglés
Editorial: England & Co., 14 Needham Road, London, 1992
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Librería: THOMAS RARE BOOKS, Yaxley, SUFFOLK, Reino UnidoTHOMAS RARE BOOKS
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Añadir al carritoSoft cover. Condición: Fine. 8pp Artist exhibition catalogue. 27 art works listed with a small selection illus. James Burridge (ilustrador).

FATE (UK Edition Pub. ; Pulp Digest Magazine); Vol. 3, No. 12, October 1957 Mystery Adventure Prediction - My Fathers Return by Donald Campbell; What Does Your Name Mean?; Atlantis- When did it Vanish?
Fred Archer; Charles James; H.C. Goble; Wally George; Fred Korotkin; Gaston Burridge; Frank Edwards; Curtis Fuller; G.B.Spencer
Editorial: Press Books Ltd., Great Britain, United Kingdom, 1957
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- Primera edición
Librería: Comic World, Steinbach, MB, CanadaComic World
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EUR 16,95
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Añadir al carritoSoft cover. Condición: Good / Very Good. First Paperback Ed. & 1st Printing.. My Fathers Return by Donald Campbell; What Does Your Name Mean?; Atlantis- When did it Vanish? ** ARTICLES AND STORIES (1) My Dead Fathers Return by Fred Archer (2) Is Your Name You? By Charles James (3) Atlantis When did it disappear? By H.C. Goble (4…) Does the Devil Live Here? By Wally George (5) Prophecy for Napoleon by Fred Korotkin (6) What was John Keelys Discovery? By Gaston Burridge (7) Voices in the Wind? Frank Edwards (8) And the World Lost its Greatest Wonder! By Curtis Fuller (9) Honour to the old gods by G.B.Spencer >> Cover scuffing; crease to backcover. Size: 12mo - over 6¾" - 7¾" tall. Book.

Treasures New and Old: Essays in Honor of Donald A. Hagner
Edited and Prefaced by Carl Sweatman and Clifford Kvidahl; Foreward by Craig Evans; Essays by Paul Barnett, Craig Blomberg, Jeannine Brown, Richard Burridge, Samuel Byrskog, Roland Deines, James Dunn, Craig Evans, Reidar Hvalvik, Charles Lee Irons, Craig Keener, Lee Martin McDonald, Scott Mackie, Benjamin Schliesser, Thomas Schreiner, Peter Stuhlmacher, William Telford, and David Wenham.
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Librería: Andover Books and Antiquities, Andover, MA, Estados Unidos de AmericaAndover Books and Antiquities
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Softcover. Condición: Excellent condition. xx, 407 pp. GlossaHouse Festschrift Series. Volume 1. Softcover. LCC: 2017956474.

Treasures New and Old: Essays in Honor of Donald A. Hagner
Edited and Prefaced by Carl Sweatman and Clifford Kvidahl; Foreward by Craig Evans; Essays by Paul Barnett, Craig Blomberg, Jeannine Brown, Richard Burridge, Samuel Byrskog, Roland Deines, James Dunn, Craig Evans, Reidar Hvalvik, Charles Lee Irons, Craig Keener, Lee Martin McDonald, Scott Mackie, Benjamin Schliesser, Thomas Schreiner, Peter Stuhlmacher, William Telford, and David Wenham.
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Librería: Andover Books and Antiquities, Andover, MA, Estados Unidos de AmericaAndover Books and Antiquities
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Softcover. Condición: Excellent condition. xx, 407 pp. GlossaHouse Festschrift Series. Volume 1. Softcover. LCC: 2017956474.

Treasures New and Old: Essays in Honor of Donald A. Hagner
Edited and Prefaced by Carl Sweatman and Clifford Kvidahl; Foreward by Craig Evans; Essays by Paul Barnett, Craig Blomberg, Jeannine Brown, Richard Burridge, Samuel Byrskog, Roland Deines, James Dunn, Craig Evans, Reidar Hvalvik, Charles Lee Irons, Craig Keener, Lee Martin McDonald, Scott Mackie, Benjamin Schliesser, Thomas Schreiner, Peter Stuhlmacher, William Telford, and David Wenham.
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Librería: Andover Books and Antiquities, Andover, MA, Estados Unidos de AmericaAndover Books and Antiquities
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Softcover. Condición: Excellent condition. xx, 407 pp. GlossaHouse Festschrift Series. Volume 1. Softcover. LCC: 2017956474.

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. 2026. paperback. . . . . .

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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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Paperback or Softback. Condición: New. Inference in Statistical Modelling and Machine Learning. Book.

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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Inference In Statistical Modelling And Machine Learning: A Concise Introduction
Burridge, James (University Of Portsmouth) Tosh, Nick (University Of Galway)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 323 pages. 7.00x0.67x10.00 inches. In Stock.

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Condición: New. 2026. hardcover. . . . . .

Inference In Statistical Modelling And Machine Learning: A Concise Introduction
Burridge, James (University Of Portsmouth) Tosh, Nick (University Of Galway)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 323 pages. 7.00x0.75x10.00 inches. In Stock.

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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

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Paperback. Condición: new. Paperback. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Inference In Statistical Modelling And Machine Learning: A Concise Introduction
Burridge, James (University Of Portsmouth) Tosh, Nick (University Of Galway)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Paperback. Condición: new. Paperback. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condición: new. Paperback. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Hardcover. Condición: new. Hardcover. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Inference In Statistical Modelling And Machine Learning: A Concise Introduction
Burridge, James (University Of Portsmouth) Tosh, Nick (University Of Galway)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Taschenbuch. Condición: Neu. Inference in Statistical Modelling and Machine Learning | James Burridge (u. a.) | Taschenbuch | Englisch | 2026 | Cambridge University Press | EAN 9781009630726 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand….

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Hardcover. Condición: new. Hardcover. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 192,96
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Hardcover. Condición: new. Hardcover. Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core id…eas probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques. This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an immediately useful toolkit and equips them to consult more advanced resources. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Buch. Condición: Neu. Inference in Statistical Modelling and Machine Learning | James Burridge (u. a.) | Buch | Englisch | 2026 | Cambridge University Press | EAN 9781009630689 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.