Mamitsuka (84 resultados)

Condición: As New. Unread book in perfect condition.

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.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Online-Ressource Sauberes ungelesenes Exemplar. Äußerlich sind am Einband minimale bis leichte Lagerspuren vorhanden. 9781627031066 Sprache: Englisch Gewicht in Gramm: 1000.

Softcover. Condición: 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.

Condición: New.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: 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. …

Condición: Used. pp. xv + 199.

Condición: Used. pp. xv + 199 Illus.

Condición: Used. pp. xv + 199.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: 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. . . . . …

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. pp. 292.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Hardcover. Condición: Brand New. 2013 edition. 291 pages. 10.00x7.25x0.75 inches. In Stock.

Condición: 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. . . . . Books ship from the US and Ireland. …

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. pp. XI, 243 95 illus., 86 illus. in color. Softcover reprint of the original 2nd ed. 2018 edition NO-PA16APR2015-KAP.