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This course helps you build that skill, and goes over some of the most popularly asked interview problems at big tech companies
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Here is what you will Learn from Grokking the Machine Learning Interview
- Setting up a Machine Learning System
- How Does This Course Help in ML Interviews?
2. Practical ML Techniques/Concepts
- Performance and Capacity Considerations
- Training Data Collection Strategies
- Online Experimentation
- Embeddings
- Transfer Learning
- Model Debugging and Testing
3. Search Ranking
- Problem Statement
- Metrics
- Architectural Components
- Document Selection
- Feature Engineering
- Training Data Generation
- Ranking
- Filtering Results
4. Feed Based System
- Metrics
- Problem Statement
- Architectural Components
- Tweet Selection
- Feature Engineering
- Training Data Generation
- Ranking
- Diversity
- Online Experimentation
- 5. Recommendation System
- Problem Statement
- Metrics
- Architectural Components
- Feature Engineering
- Candidate Generation
- Training Data Generation
- Ranking
6. Self-Driving Car: Image Segmentation
- Problem Statement
- Metrics
- Architectural Components
- Training Data Generation
- Modeling
7. Entity Linking System
- Problem Statement
- Metrics
- Architectural Components
- Training Data Generation
- Modeling
8. Ad Prediction System
- Problem Statement
- Metrics
- Architectural Components
- Feature Engineering
- Training Data Generation
- Ad Selection
- Ad Prediction