Menu of Topics for a Machine Learning Interview

  • Bayes rule and its applications
  • Data normalization/scaling techniques
  • Feature encoding/representation
  • Different types of classifiers/regressors for supervised learning
  • Text analysis: similarity measure between documents/texts, TF-IDF, N-grams, NLP techniques.
  • Computer vision: image classification, image segmentation, object detection.
  • Dimensionality reduction: PCA, UMAP, t-SNE, Fourier transform, etc.
Photo by Clarisse Croset on Unsplash

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