Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.75.
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
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Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Language: English
Published by New York, Humana Press., 2018
ISBN 10: 1493985604 ISBN 13: 9781493985609
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xi, 243 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Language: English
Published by Totowa, NJ : Humana Press, 2013
ISBN 10: 1627031065 ISBN 13: 9781627031066
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Online-Ressource Sauberes ungelesenes Exemplar. Äußerlich sind am Einband minimale bis leichte Lagerspuren vorhanden. 9781627031066 Sprache: Englisch Gewicht in Gramm: 1000.
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
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Softcover. Condition: Wie neu. The book is in very good condition and does not appear to have been read. Only very minor shelf wear to the cover. Language: English. Ships from Berlin.
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
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Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
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Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
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Paperback. Condition: New.
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Machine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engineering, finance, agriculture, to name a few. Marketing is rather behind this trend, while marketing has a lot of potential applications for machine learning. In other words, marketing may change into more autonomous scientific work by using data and also proper formulation of each application into a machine learning problem. This book focuses on two major, traditional paradigms of marketing: target marketing and relationship marketing. Then it is revealed that each of numerous aspects of the two marketing paradigms can be formulated into a machine learning problem. That is, for each problem, a machine learning model can be built and parameters of the model can be estimated/optimized from given data. For example, an important objective of target marketing can be interpreted as a problem of finding a customer segment, which has a plenty of customers but no competitors. This problem can be formulated into a machine learning problem for which a model is built and model parameters can be estimated from given data. This book, for each machine learning problem setting, always builds a simpler (probably simplest) model, so that readers can understand the idea and assumption of the model easily. This book would be useful for both sides of marketing and machine learning. That is, marketers would be able to study the way of formulating a problem of marketing into a machine learning problem/function in which parameters are estimated from given data. On the other hand, machine learners would be able to study applications of marketing and also essential and intuitive ideas behind marketing through numerous applications in this book.
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xv + 199.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 96.15
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Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xv + 199 Illus.
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. xv + 199.
Condition: New. pp. 292.
Condition: New. As ever more petabytes of information are added to biological databases such as that for the human genome, this new volume in the Methods in Molecular Biology series explains how to convert the deluge of fresh data into new knowledge and biological insight. Editor(s): DeLisi, Charles; Kanehisa, Minoru; Mamitsuka, Hiroshi. Series: Methods in Molecular Biology. Num Pages: 291 pages, 19 black & white tables, biography. BIC Classification: PS; UNF. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 23. Weight in Grams: 746. . 2012. Hardback. . . . .
Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 107.55
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Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 111.91
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Language: English
Published by Imperial College Press, 2007
ISBN 10: 1860949843 ISBN 13: 9781860949845
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