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Growth Paths / DS Curriculum 6: Linear algebra
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DS Curriculum 6: Linear algebra

Vectors and matrices, the math under every model.

Vectors and matrices, the math under every model. Free courses, a free self-check for each, and real work confirmed by 3 people. Part of the Varsity Curriculum: Data Science, adapted from OSSU Data Science (CC BY-SA 4.0).

1 required outcomes14 weeksCredential on completion

Path outcomes

Skills

Derive the Linear Algebra Behind Machine Learning

Linear Algebra (MIT 18.06SC) — reuses an outcome Powstik already has.

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3 milestones

  1. 1Master Vectors, Matrices, and Linear Transformations
  2. 2Apply Linear Algebra to ML Algorithm Derivations
  3. 3Present Linear Algebra for ML to an Expert Reviewer

Resources for this path

No affiliate links. No sponsored placements.

The course map this path is adapted from (CC BY-SA 4.0).

OSSU's first linear algebra course: short free videos that show what the ideas look like. Watch them first. They have no exercises, so they have no proof of their own.