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Saturday, November 7, 2020 | History

1 edition of Marketing data science found in the catalog.

Marketing data science

Thomas W. Miller

Marketing data science

modeling techniques in predictive analytics with R and Python

by Thomas W. Miller

  • 289 Want to read
  • 32 Currently reading

Published .
Written in English

    Subjects:
  • Python (Computer program language),
  • Marketing research,
  • Data processing,
  • R (Computer program language),
  • Marketing,
  • Mathematical models,
  • Data mining

  • Edition Notes

    Includes bibliographical references and index.

    Other titlesModeling techniques in predictive analytics with R and Python
    StatementThomas W. Miller
    Classifications
    LC ClassificationsHF5415 .M55 2015
    The Physical Object
    Paginationxviii, 458 pages
    Number of Pages458
    ID Numbers
    Open LibraryOL27199867M
    ISBN 100133886557
    ISBN 109780133886559
    LC Control Number2015937911
    OCLC/WorldCa894935146


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Marketing data science by Thomas W. Miller Download PDF EPUB FB2

This book teaches marketing data science through real-world examples that integrate essential knowledge from the disciplines that have shaped it. Building on his pioneering courses at Northwestern University, Thomas W.

Miller walks you through the entire process of modeling and answering marketing questions with R and Python, today’s leading Cited by: 1.

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Vincent has published 40 papers in statistical journals (including Journal of Royal Statistical Society - Series B, IEEE Pattern Analysis and Machine Intelligence, Journal of Number Theory), a Wiley book on data science, and is an invited speaker at international conferences.

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The book lays the basic foundations of these tasks, and also covers many more cutting-edge data Marketing data science book topics. View Free Book See Reviews. Data Mining and Machine Learning. Data Mining: Practical Machine Learning Tools and Techniques. Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics) Thomas W.

Miller. out of 5 stars Kindle Edition. $ R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Hadley Wickham. out of 4/4(6). A straightforward, non-technical guide to the next major marketing tool. Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals.

This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing.

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A book for all aspiring entrepreneurs, and marketing professionals. This book talks about how today’s top companies like Uber, PayPal, Airbnb, Amazon, Apple disrupted the market and became industry leaders.

Platform Revolution is an amazing fact-based book to understand the secret of success of. Predictive analytics is data science. The literature in the field is massive, drawing from many academic disciplines and application areas. The rele-vant code (even if we restrict ourselves to R) is growing quickly.

Indeed, it would be a challenge to provide a comprehensive guide to predictive by: 5. The Business of Data Science is a 2-day course that teaches business leaders how to harness the power of data science and artificial intelligence for your organization.

You’ll learn the fundamentals of data science and how to utilize it to make better business decisions in your organization. Description. In Marketing Data Science, a top faculty member of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive g for both managers and students, Thomas W.

Miller explains essential concepts, principles, and theory in the context of real-world Availability: Live. Yet, marketing data science is a relatively new field and the amount of resources available for education and references lags behind the momentum.

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