ML System Design

#machine-learning #deep-learning #nlp #interview #need-review

Questions to Ask

  1. What are the constraint of the system?
    1. End devices?
    2. What is the use of the model?
  2. Data characteristics
    1. Size
    2. Output - Categorical or Continuous
    3. Labeled - Supervised Learning / Unsupervised Learning / Semi-supervised Learning
    4. Missing data - Handling Missing Data
    5. Imbalanced? - Handling Imbalanced Dataset
    6. Outliers - Handling Outliers
  3. Which Machine learning to use?
    1. Machine Learning Algorithm Selection
    2. Need to be interpretable?
    3. Online Learning?
    4. Recommendation system?
  4. Model Evaluation
    1. #evaluation
    2. Positive is more important or negative

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