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In this course, you will learn :
- The current state of the art in model techniques as well as best practises for applying ML models in production at scale.
Syllabus :
1. Machine Learning Primer
- Feature Selection and Feature Engineering
- Training Pipeline
- Inference
- Metrics Evaluation
2. Video Recommendation
- Problem Statement and Metrics
- Candidate Generation and Ranking Model
- Video Recommendation System Design
3. Feed Ranking
- Problem Statement and Metrics
- Feed Ranking Model
- Feed Ranking System Design
4. Ad Click Prediction
- Problem Statement and Metrics
- Ad Click Prediction Model
- Ads Recommendation System Design
5. Rental Search Ranking
- Problem Statement and Metrics
- Booking Model
- Rental Search Ranking System Design
6. Estimate Food Delivery Time
- Problem Statement and Metrics
- Estimated Delivery Model
- Estimate Food Delivery System Design
