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CoursesCertificationsLabs
Preporato
CoursesCertificationsLabs
ML practiceStep 2 of 12

Linear algebra for ML

Dot products, projections and least squares, the math under every model.

Start 5 problems

Problems

  1. 1Cosine similarity between all embeddingsEasy · 10 min · 10 hidden testsSolution free
  2. 2Project a direction out of embeddingsMedium · 12 min · 10 hidden tests
  3. 3Fit a linear model by least squaresMedium · 14 min · 10 hidden tests
  4. 4Find duplicated feature columnsMedium · 15 min · 11 hidden tests
  5. 5Top eigenvector by power iterationHard · 22 min · 13 hidden tests

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