A4. Deep Learning Application for Retail (Trent McMillan, 2022)

1. Course Overview: 1. Course Overview 00:00:00 2. Deep Learning in Retail Applications: 1. Use Case - Customer Segmentation 00:01:49 2. Use Case - Inventory Management 00:07:12 3. Use Case - Product Image Classification 00:10:38 4. Use Case - Price Optimization 00:13:25 5. Data Collection 00:16:25 6. Current Trends 00:21:17 3. Case Study - Recommendation Systems: 1. Framing the Problem 00:25:31 2. Implementation 00:30:00 3. Results 00:32:59 4. Tips for Success 00:36:29 4. Case Study - Churn Prediction: 1. Framing the Problem 00:39:03 2. Implementation 00:41:43 3. Results 00:48:33 4. Tips for Success 00:53:07 5. Summary: 1. Summary 00:55:45