Скачать с ютуб Machine Learning in Marketing - Juan Orduz в хорошем качестве

Machine Learning in Marketing - Juan Orduz

We talked about: 00:00 DataTalks.Club intro 02:08 Juan’s background 07:31 Typical problems in marketing that are solved with ML 10:18 Attribution model 13:03 Media Mix Model – detecting uplift and channel saturation 20:49 Changes to privacy regulations and its effect on user tracking 23:04 User retention and churn prevention 30:45 A/B testing to detect uplift 35:15 Statistical approach vs machine learning (setting a benchmark) 37:05 Does retraining MMM models often improve efficiency? 38:11 Attribution model baselines 39:41 Choosing a decay rate for channels (Bayesian linear regression) 40:46 Learning resource suggestions 42:06 Bayesian approach vs Frequentist approach 48:06 Suggestions for creating a marketing department 55:12 Most challenging problems in marketing 57:02 The importance of knowing marketing domain knowledge for data scientists 58:48 Juan’s blog and other learning resources 1:00:22 Finding Juan online Links: Juan's PyData talk on uplift modeling:    • Dr. Juan Orduz: Introduction to Uplift Mod...   Juan's website: https://juanitorduz.github.io Introduction to Algorithmic Marketing book: https://algorithmic-marketing.online Preventing churn like a bandit:    • Gerben Oostra: Preventing churn like a ban...   MLOps Zoomcamp: https://github.com/DataTalksClub/mlop... Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html