种子简介
种子名称：
Lynda - Machine Learning for Marketing Essential Training
文件类型：
视频
文件数目：
21个文件
文件大小：
218.69 MB
收录时间：
2018-9-15 13:31
已经下载：
3次
资源热度：
134
最近下载：
2025-4-9 14:48
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种子包含的文件
Lynda - Machine Learning for Marketing Essential Training.torrent
1.Introduction/01.What can machine learning do for your marketing campaign.mp421.13MB
1.Introduction/02.The time for machine learning (ML) is now.mp417.69MB
2.1. Using ML to Improve Market Awareness/03.Use case - Market identification and targeting.mp412.15MB
2.1. Using ML to Improve Market Awareness/04.Demo - Market identification and targeting.mp45.29MB
2.1. Using ML to Improve Market Awareness/05.Use case - Media planning and implementation.mp414.33MB
2.1. Using ML to Improve Market Awareness/06.Demo - Media planning and implementation.mp47.95MB
3.2. Using ML to Improve Consideration Engagement/07.Use case - Predict demand.mp413.02MB
3.2. Using ML to Improve Consideration Engagement/08.Demo - Predict demand.mp48.29MB
3.2. Using ML to Improve Consideration Engagement/09.Use case - Predict churn.mp411.5MB
3.2. Using ML to Improve Consideration Engagement/10.Demo - Predict churn.mp411.18MB
4.3. Using ML to Improve Active Customer Engagement/11.Use case - Improve customer satisfaction.mp415.87MB
4.3. Using ML to Improve Active Customer Engagement/12.Demo - Improve customer satisfaction.mp49.31MB
4.3. Using ML to Improve Active Customer Engagement/13.Use case - Automate personalization.mp49.03MB
4.3. Using ML to Improve Active Customer Engagement/14.Demo - Automate personalization.mp47.71MB
5.4. Using ML to Improve Advocacy/15.Use case - Identify influencers.mp49.17MB
5.4. Using ML to Improve Advocacy/16.Demo - Identify influencers.mp48.67MB
5.4. Using ML to Improve Advocacy/17.Use case - Strengthen customer response and advocacy.mp47.97MB
5.4. Using ML to Improve Advocacy/18.Demo - Strengthen customer response and advocacy.mp46.31MB
6.5. Using ML to Improve Advocacy/19.Use case - Improve account-based marketing (ABM).mp411.54MB
6.5. Using ML to Improve Advocacy/20.Demo - Improve account-based marketing (ABM).mp46.31MB
7.Conclusion/21.Next steps.mp44.26MB
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