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Explore Questions by Topics
  • Computer Vision (1)
  • Data Preparation (35)
    • Feature Engineering (30)
    • Sampling Techniques (5)
  • Deep Learning (52)
    • DL Architectures (17)
      • Feedforward Network / MLP (2)
      • Sequence models (6)
      • Transformers (9)
    • DL Basics (16)
    • DL Training and Optimization (17)
  • Generative AI (2)
  • Machine Learning Basics (18)
  • Natural Language Processing (27)
    • NLP Data Preparation (18)
  • Statistics (34)
  • Supervised Learning (115)
    • Classification (70)
      • Classification Evaluations (9)
      • Ensemble Learning (24)
      • Logistic Regression (10)
      • Other Classification Models (9)
      • Support Vector Machine (9)
    • Regression (41)
      • Generalized Linear Models (9)
      • Linear Regression (26)
      • Regularization (6)
  • Unsupervised Learning (55)
    • Clustering (37)
      • Clustering Evaluations (6)
      • Distance Measures (9)
      • Gaussian Mixture Models (5)
      • Hierarchical Clustering (3)
      • K-Means Clustering (9)
    • Dimensionality Reduction (9)

Sampling Techniques

  • Q. What is bootstrapping, and why is it a useful technique?
  • Q. What is Cluster Sampling?
  • Q. What is Stratified Sampling?
  • Q. What is Simple Random Sampling?
  • Q. What is the difference between probability and non-probability sampling, and what are some example methodologies for each?
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Explore Questions by Topics
  • Computer Vision (1)
  • Data Preparation (35)
    • Feature Engineering (30)
    • Sampling Techniques (5)
  • Deep Learning (52)
    • DL Architectures (17)
      • Feedforward Network / MLP (2)
      • Sequence models (6)
      • Transformers (9)
    • DL Basics (16)
    • DL Training and Optimization (17)
  • Generative AI (2)
  • Machine Learning Basics (18)
  • Natural Language Processing (27)
    • NLP Data Preparation (18)
  • Statistics (34)
  • Supervised Learning (115)
    • Classification (70)
      • Classification Evaluations (9)
      • Ensemble Learning (24)
      • Logistic Regression (10)
      • Other Classification Models (9)
      • Support Vector Machine (9)
    • Regression (41)
      • Generalized Linear Models (9)
      • Linear Regression (26)
      • Regularization (6)
  • Unsupervised Learning (55)
    • Clustering (37)
      • Clustering Evaluations (6)
      • Distance Measures (9)
      • Gaussian Mixture Models (5)
      • Hierarchical Clustering (3)
      • K-Means Clustering (9)
    • Dimensionality Reduction (9)
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Other Questions in Sampling Techniques
  • What is Within Cluster Sum of Squares (WCSS)?
  • What are some approaches for modeling non linear relationships?
  • What is Kernel PCA?
  • What problems would arise from using a regular linear regression to model a binary outcome?
  • What is the problem with using a generic list of stop words? 
  • What is Classification?
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