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Lynda - Machine Learning for Marketing Essential Training

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视频 2018-9-15 13:31 2024-12-17 21:35 112 218.69 MB 21
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文件列表
  1. 1.Introduction/01.What can machine learning do for your marketing campaign.mp421.13MB
  2. 1.Introduction/02.The time for machine learning (ML) is now.mp417.69MB
  3. 2.1. Using ML to Improve Market Awareness/03.Use case - Market identification and targeting.mp412.15MB
  4. 2.1. Using ML to Improve Market Awareness/04.Demo - Market identification and targeting.mp45.29MB
  5. 2.1. Using ML to Improve Market Awareness/05.Use case - Media planning and implementation.mp414.33MB
  6. 2.1. Using ML to Improve Market Awareness/06.Demo - Media planning and implementation.mp47.95MB
  7. 3.2. Using ML to Improve Consideration Engagement/07.Use case - Predict demand.mp413.02MB
  8. 3.2. Using ML to Improve Consideration Engagement/08.Demo - Predict demand.mp48.29MB
  9. 3.2. Using ML to Improve Consideration Engagement/09.Use case - Predict churn.mp411.5MB
  10. 3.2. Using ML to Improve Consideration Engagement/10.Demo - Predict churn.mp411.18MB
  11. 4.3. Using ML to Improve Active Customer Engagement/11.Use case - Improve customer satisfaction.mp415.87MB
  12. 4.3. Using ML to Improve Active Customer Engagement/12.Demo - Improve customer satisfaction.mp49.31MB
  13. 4.3. Using ML to Improve Active Customer Engagement/13.Use case - Automate personalization.mp49.03MB
  14. 4.3. Using ML to Improve Active Customer Engagement/14.Demo - Automate personalization.mp47.71MB
  15. 5.4. Using ML to Improve Advocacy/15.Use case - Identify influencers.mp49.17MB
  16. 5.4. Using ML to Improve Advocacy/16.Demo - Identify influencers.mp48.67MB
  17. 5.4. Using ML to Improve Advocacy/17.Use case - Strengthen customer response and advocacy.mp47.97MB
  18. 5.4. Using ML to Improve Advocacy/18.Demo - Strengthen customer response and advocacy.mp46.31MB
  19. 6.5. Using ML to Improve Advocacy/19.Use case - Improve account-based marketing (ABM).mp411.54MB
  20. 6.5. Using ML to Improve Advocacy/20.Demo - Improve account-based marketing (ABM).mp46.31MB
  21. 7.Conclusion/21.Next steps.mp44.26MB
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