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Intermediate

Machine Learning Interview Playbook: Practical Systems and Case Studies

Practice the decisions that come up in machine learning interviews: framing a task, choosing a baseline, evaluating models, debugging failures, and explaining project work with evidence.

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Sections
11
Lessons
74
Study time
18 Hours
Learner rating
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11 sections 74 lessons
  1. 1

    Interview Foundations and Practical ML Techniques

    9 lessons Free preview

  2. 2

    Search Ranking Systems

    9 lessons Premium

  3. 3

    Social Feed Ranking

    9 lessons Premium

  4. 4

    Recommendation and Network Suggestions

    9 lessons Premium

  5. 5

    Autonomous Driving Perception

    5 lessons Premium

  6. 6

    Entity Linking

    5 lessons Premium

  7. 7

    Ad Prediction

    8 lessons Premium

  8. 8

    Fraud Detection

    6 lessons Premium

  9. 9

    Harmful Content Detection

    6 lessons Premium

  10. 10

    Dynamic Pricing

    5 lessons Premium

  11. 11

    Mock Interviews and Final Practice

    3 lessons Premium

Curriculum

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  1. 1.1How Does This Course Help in ML Interviews?10 min
  2. 1.2Setting Up a Machine Learning System15 min
  3. 1.3Performance and Capacity Considerations10 min
  4. 1.4Training Data Collection Strategies18 min
  5. 1.5Online Experimentation10 min
  6. 1.6Embeddings11 min
  7. 1.7Transfer Learning10 min
  8. 1.8Model Debugging and Testing12 min
  9. 1.9Practical ML Techniques/Concepts10 min

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