The machine age of customer insight. (2021)
- Record Type:
- Book
- Title:
- The machine age of customer insight. (2021)
- Main Title:
- The machine age of customer insight
- Further Information:
- Note: Edited by Martin Einhorn, Michael Löffler, Emanuel Bellis, Andreas Herrmann, Pia Burghartz.
- Editors:
- Einhorn, Martin
Löffler, Michael
Bellis, Emanuel
Herrmann, Andreas
Burghartz, Pia - Contents:
- Introduction; Martin Einhorn, Michael Löffler, Emanuel de Bellis, Andreas Herrmann, and Pia BurghartzChapter 1. Transformation of Customer Insights; Martin Einhorn and Michael Löffler Chapter 2. Intelligent Applications in the Modern Sales Organization; Gilberto Picareta, Martin Kloehn, and Eugenie Weissheim Chapter 3. Voice and Facial Coding in Market Research; Niels Neudecker, Deepak Varma, David Wright, and Robert Powell Chapter 4. Machine-Driven Content Marketing; Javiera M. Guedes, Akinbami Akinwale, and María Requemán Fontecha Chapter 5. Leveraging Customer Insights with 5G; Marco Ottawa Chapter 6. Overview of Machine Learning Tools; Brett Lantz Chapter 7. Neural Networks and Deep Learning; Hongming Wang, Ryszard Czerminski, and Andrew C. Jamieson Chapter 8. Classification Using Decision Tree Ensembles; Jochen Hartmann Chapter 9. Text Analytics and Natural Language Processing; Ted Kwartler Chapter 10. A Step-By-Step Guide for Data Scraping; Reto Hofstetter Chapter 11. Data Privacy: A Driver for a Competitive Advantage; Timo Jakobi, Max von Grafenstein, and Thomas Schildhauer Chapter 12. Data Collection: Welcome to the Experience Economy; David Mingle Chapter 13. Data Growth: Generating Business Value with Cloud Services; Gerrit Kazmaier Chapter 14. Data Competitions: Crowdsourcing With Data Science Platforms; Jenny Lena Zimmermann Chapter 15. Data Processing: Kontosensor as an Application of Predictive Analytics; Raimund Blache, Lars Fetzer, René Michel, and Tobias vonIntroduction; Martin Einhorn, Michael Löffler, Emanuel de Bellis, Andreas Herrmann, and Pia BurghartzChapter 1. Transformation of Customer Insights; Martin Einhorn and Michael Löffler Chapter 2. Intelligent Applications in the Modern Sales Organization; Gilberto Picareta, Martin Kloehn, and Eugenie Weissheim Chapter 3. Voice and Facial Coding in Market Research; Niels Neudecker, Deepak Varma, David Wright, and Robert Powell Chapter 4. Machine-Driven Content Marketing; Javiera M. Guedes, Akinbami Akinwale, and María Requemán Fontecha Chapter 5. Leveraging Customer Insights with 5G; Marco Ottawa Chapter 6. Overview of Machine Learning Tools; Brett Lantz Chapter 7. Neural Networks and Deep Learning; Hongming Wang, Ryszard Czerminski, and Andrew C. Jamieson Chapter 8. Classification Using Decision Tree Ensembles; Jochen Hartmann Chapter 9. Text Analytics and Natural Language Processing; Ted Kwartler Chapter 10. A Step-By-Step Guide for Data Scraping; Reto Hofstetter Chapter 11. Data Privacy: A Driver for a Competitive Advantage; Timo Jakobi, Max von Grafenstein, and Thomas Schildhauer Chapter 12. Data Collection: Welcome to the Experience Economy; David Mingle Chapter 13. Data Growth: Generating Business Value with Cloud Services; Gerrit Kazmaier Chapter 14. Data Competitions: Crowdsourcing With Data Science Platforms; Jenny Lena Zimmermann Chapter 15. Data Processing: Kontosensor as an Application of Predictive Analytics; Raimund Blache, Lars Fetzer, René Michel, and Tobias von Martens Chapter 16. Data Visualization: The Power of Storytelling; Ted Frank. … (more)
- Publisher Details:
- United Kingdom : Emerald Publishing
- Publication Date:
- 2021
- Extent:
- 1 online resource
- Subjects:
- 658.83420285631
Consumer behavior -- Data processing
Machine learning - Languages:
- English
- ISBNs:
- 9781839096969
9781839096945 - Related ISBNs:
- 9781839096976
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.604221
- Ingest File:
- 04_082.xml