[40% OFF]Grokking the Machine Learning Interview Coupon-Educative.io

Grokking the Machine Learning Interview coupon

With Grokking the Machine Learning Interview you will get a 40% discount on yearly plans and a 20% monthly discount oneducative.io. It is one of the popular courses from educative.io

This course helps you build that skill, and goes over some of the most popularly asked interview problems at big tech companies

Grokking the Machine Learning Interview– Developer Discount

With the exclusive Holiday discount, you can get a 20% discount on two years of access to educative.io which includes all the existing and future courses. Two-year access is just $199 after the discount. Lockin this price before it expires.

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Coupon: Use code devops at checkout

Also, you can get a 10% discount on all educative courses using the exclusive discount.

Coupon: Use Code Educative10 at checkout

Here is what you will Learn from Grokking the Machine Learning Interview

  1. Setting up a Machine Learning System
  2. How Does This Course Help in ML Interviews?

2. Practical ML Techniques/Concepts

  1. Performance and Capacity Considerations
  2. Training Data Collection Strategies
  3. Online Experimentation
  4. Embeddings
  5. Transfer Learning
  6. Model Debugging and Testing

3. Search Ranking

  1. Problem Statement
  2. Metrics
  3. Architectural Components
  4. Document Selection
  5. Feature Engineering
  6. Training Data Generation
  7. Ranking
  8. Filtering Results

4. Feed Based System

  1. Metrics
  2. Problem Statement
  3. Architectural Components
  4. Tweet Selection
  5. Feature Engineering
  6. Training Data Generation
  7. Ranking
  8. Diversity
  9. Online Experimentation
  10. 5. Recommendation System
  11. Problem Statement
  12. Metrics
  13. Architectural Components
  14. Feature Engineering
  15. Candidate Generation
  16. Training Data Generation
  17. Ranking

6. Self-Driving Car: Image Segmentation

  1. Problem Statement
  2. Metrics
  3. Architectural Components
  4. Training Data Generation
  5. Modeling

7. Entity Linking System

  1. Problem Statement
  2. Metrics
  3. Architectural Components
  4. Training Data Generation
  5. Modeling

8. Ad Prediction System

  1. Problem Statement
  2. Metrics
  3. Architectural Components
  4. Feature Engineering
  5. Training Data Generation
  6. Ad Selection
  7. Ad Prediction
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