Da: Better World Books Ltd, Dunfermline, Regno Unito
EUR 5,96
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: T And F India, 2025
Da: Books in my Basket, New Delhi, India
EUR 25,97
Quantità: 20 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9781032937908,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Da: medimops, Berlin, Germania
EUR 34,11
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: as new. Wie neu/Like new.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 67,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 60,07
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 427.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367574640 ISBN 13: 9780367574642
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 69,45
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 2nd. "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."-Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."-Daniel Barbara, George Mason University, Fairfax, Virginia, USA"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."-Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength.Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."-David Clifton, University of Oxford, UK"The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning.The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."-Guangzhi Qu, Oakland University, Rochester, Michigan, USA.
EUR 52,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 56,23
Quantità: 2 disponibili
Aggiungi al carrellopaperback. Condizione: New.
Condizione: New. pp. 427.
EUR 59,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New.
EUR 70,01
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 427.
ISBN 10: 1032937904 ISBN 13: 9781032937908
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
ISBN 10: 1032937904 ISBN 13: 9781032937908
Da: SMASS Sellers, IRVING, TX, U.S.A.
Condizione: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Condizione: As New. Unread book in perfect condition.
EUR 95,35
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 400.
EUR 90,29
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 397 pages. 9.25x6.25x1.00 inches. In Stock.
EUR 90,96
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: T&F INDIA, 2026
ISBN 10: 1032937904 ISBN 13: 9781032937908
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 60,15
Quantità: 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 93,60
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 400.
EUR 64,80
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. Simon Rogers is a lecturer in the School of Computing Science at the University of Glasgow, where he teaches a masters-level machine learning course on which this book is based. Dr. Rogers is an active researcher in machine learning, par.
EUR 101,75
Quantità: 1 disponibili
Aggiungi al carrelloBook/CD-ROM. Condizione: Brand New. 2nd har/psc edition. 440 pages. 10.00x7.00x1.00 inches. In Stock.
EUR 108,94
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 400.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367574640 ISBN 13: 9780367574642
Da: Rarewaves.com UK, London, Regno Unito
EUR 64,84
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 2nd. "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."-Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."-Daniel Barbara, George Mason University, Fairfax, Virginia, USA"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."-Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength.Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."-David Clifton, University of Oxford, UK"The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning.The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."-Guangzhi Qu, Oakland University, Rochester, Michigan, USA.
EUR 90,54
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Simon Rogers is a lecturer in the School of Computing Science at the University of Glasgow, where he teaches a masters-level machine learning course on which this book is based. Dr. Rogers is an active researcher in machine learning, par.