Introduction to algorithmic marketing : artificial intelligence for marketing operations Ilya Katsov.
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Text[Sunnyvale, California] : Ilya Katsov, c2018Description: xii, 508 pages : illustrations (some color) ; 24 cmISBN: 9780692142608 (paperback); 0692142606 (paperback)Subject(s): Marketing -- Data processing | Artificial intelligence | Marketing -- Data processingLOC classification: HD30.2 | .K38 2018 Summary: "This book is for everyone who wants to learn how to build advanced marketing software systems. It will be useful for a variety of marketing and software practitioners, but it was written with two target audiences in mind. The first target audience is implementers of marketing software, project managers, and software engineers who want to learn about the features and techniques that can be used in marketing software products and also learn about the economic foundations for these techniques. The other target audience is marketing strategists and technology leaders who are looking for guidance on how marketing organizatoins and marketing services can benefit from machine learning and Big Data and how modern enterprises can leverage advanced decision automation methods." -- page 15
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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APU Library Open Shelf | Book | HD30.2 .K38 2018 c.1 (Browse shelf (Opens below)) | 1 | Available | 00012866 |
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| HD30.2 .I8 1993 c.4 IT strategy for business / | HD30.2 .I8 1993 c.5 IT strategy for business / | HD30.2 .K36 2019 c.1 The technology fallacy : how people are the real key to digital transformation / | HD30.2 .K38 2018 c.1 Introduction to algorithmic marketing : artificial intelligence for marketing operations | HD30.2 .K44 1991 c.1 Every manager's guide to information technology : | HD30.2 .K46 2002 Vol. 4 c.1 Annals of cases on information technology. | HD30.2 .K46 2004 Vol. 6 c.1 Annals of cases on information technology. |
Cover title
Includes bibliographical references (pages 481-492) and index.
"This book is for everyone who wants to learn how to build advanced marketing software systems. It will be useful for a variety of marketing and software practitioners, but it was written with two target audiences in mind. The first target audience is implementers of marketing software, project managers, and software engineers who want to learn about the features and techniques that can be used in marketing software products and also learn about the economic foundations for these techniques. The other target audience is marketing strategists and technology leaders who are looking for guidance on how marketing organizatoins and marketing services can benefit from machine learning and Big Data and how modern enterprises can leverage advanced decision automation methods." -- page 15
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