Isbn: 9780198725091 - mathematical underpinnings of analytics: theory and applications (23 Ergebnisse)

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Hardcover. Zustand: Good. No Jacket. Condition: Good. Very clean tight copy. Hard cover, no jacket. Ex-university library copy with associated library stamps etc. 261pp. No highlighting or annotations to text.Photo on request.

Zustand: New.

Hardcover. Zustand: new. Hardcover. Analytics is the application of mathematical and statistical concepts to large data sets so as to distil insights that offer the owner some options for action and competitive advantage or value. This makes it the most desirable and valuable part of big data science.Driven by the increased data capture from digital platforms, commercial fields are becoming data rich and analytics is growing in many sectors. This book presents analytics within aframework of mathematical theory and concepts building upon firm theory and foundations of probability theory, graphs and networks, random matrices, linear algebra, optimization, forecasting, discretedynamical systems, and more.Following on from the theoretical considerations, applications are given to data from commercially relevant interests: supermarket baskets; loyalty cards; mobile phone call records; smart meters; 'omic' data; sales promotions; social media; and microblogging.Each chapter tackles a topic in analytics: social networks and digital marketing; forecasting; clustering and segmentation; inverse problems; Markov models ofbehavioural changes; multiple hypothesis testing and decision-making; and so on. Chapters start with background mathematical theory explained with a strong narrative and then give way to practicalconsiderations and then to exemplar applications.Exercises (and solutions), external data resources, and suggestions for project work are given. The book includes an appendix giving a crash course in Bayesian reasoning, for both ease and completeness. A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New.

Zustand: New. A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries. Num Pages: 280 pages, 25 colour and 14 b/w illustrations. BIC Classification: PBV; PBWH. Category: (G) General (US: Trade). Dimension: 242 x 164 x 23. Weight in Grams: 718. . 2015. 1st Edition. Hardcover. . . . . …

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

Zustand: As New. Unread book in perfect condition.

Zustand: New. A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries. Num Pages: 280 pages, 25 colour and 14 b/w illustrations. BIC Classification: PBV; PBWH. Category: (G) General (US: Trade). Dimension: 242 x 164 x 23. Weight in Grams: 718. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 280 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: New. BRAND NEW. book.

Zustand: new. Questo è un articolo print on demand.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Zustand: New. Print on Demand pp. 280 39 Illus. (25 Col.).

Zustand: New. Print on Demand pp. 280.

Zustand: New. PRINT ON DEMAND pp. 280.

Hardcover. Zustand: new. Hardcover. Analytics is the application of mathematical and statistical concepts to large data sets so as to distil insights that offer the owner some options for action and competitive advantage or value. This makes it the most desirable and valuable part of big data science.Driven by the increased data capture from digital platforms, commercial fields are becoming data rich and analytics is growing in many sectors. This book presents analytics within aframework of mathematical theory and concepts building upon firm theory and foundations of probability theory, graphs and networks, random matrices, linear algebra, optimization, forecasting, discretedynamical systems, and more.Following on from the theoretical considerations, applications are given to data from commercially relevant interests: supermarket baskets; loyalty cards; mobile phone call records; smart meters; 'omic' data; sales promotions; social media; and microblogging.Each chapter tackles a topic in analytics: social networks and digital marketing; forecasting; clustering and segmentation; inverse problems; Markov models ofbehavioural changes; multiple hypothesis testing and decision-making; and so on. Chapters start with background mathematical theory explained with a strong narrative and then give way to practicalconsiderations and then to exemplar applications.Exercises (and solutions), external data resources, and suggestions for project work are given. The book includes an appendix giving a crash course in Bayesian reasoning, for both ease and completeness. A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Zustand: Neu. Mathematical Underpinnings of Analytics | Peter Grindrod | Buch | Gebunden | Englisch | 2013 | ACADEMIC | EAN 9780198725091 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.