Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

Thomas Miller

19 évaluations par Goodreads

Langue : anglais

Edité par Pearson Education (US), 2015

0133886557 / 9780133886559

Série : Livre 27 sur 36 - FT Press Analytics

Vendeur : World of Books Inc, Montgomery, IL, Etats-UnisWorld of Books Inc

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Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.   Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis.   Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web ? and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.…

N° de réf. du vendeur CIN0133886557G

Titre
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
Auteur
Thomas Miller
Éditeur
Pearson Education (US)
Année de publication
2015
État de l'article
Good
Reliure
Hardback
Langue
anglais
ISBN à 10 chiffres
0133886557
ISBN à 13 chiffres
9780133886559
Série
Livre 27 sur 36: FT Press Analytics

World of Books Inc

Montgomery, IL, Etats-Unis

Vendeur avec une évaluation de 4 étoiles

Vendeur AbeBooks depuis 23 mars 2026

Frais d'expédition à l'intérieur de ce pays : Etats-Unis

Article4 à 12 jours ouvrés3 à 6 jours ouvrés
Premier articleEUR 0,00EUR 9,61
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Founded in 2002, World of Books is a leading online destination for buying and selling both preloved and new books, committed to making sustainable reading accessible to all. With a mission to help people read more and waste less, World of Books offers a huge range of affordable, high-quality books — giving both new and preloved titles a second life. The company also operates World of Books – Sell Your Books, an easy-to-use platform that allows customers to trade in unwanted books for cash, helping to keep books in circulation while promoting sustainability. As a Certified B Corp, World of Books is driven by a vision to become the world’s largest and most sustainable dedicated online bookstore. The company measures its success through the positive environmental impact it creates, the value it provides to customers, and its ability to operate profitably while supporting its sustainable mission …

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