# ✅ Checkpoint: Projections, Eigen and SVD

By Better Wise

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## Contents

Part of [🧮 Mathematics for Machine Learning 1: Linear Algebra Foundations](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations.md)

- **📐 Vectors, Norms and Similarity**
  - [➡️ Vectors as Arrows, Points, and NumPy Arrays](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/vectors-as-arrows-points-and-numpy-arrays.md)
  - [📏 Norms and Distances: Measuring Vector Size](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/norms-and-distances-measuring-vector-size.md) (sign-in required)
  - [🎯 Dot Product and Cosine Similarity](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/dot-product-and-cosine-similarity.md)
  - [✅ Checkpoint: Vectors and Similarity](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/checkpoint-vectors-and-similarity.md)
- **🔄 Matrices and Transformations**
  - [🧱 Matrices as Transformations and Matrix Multiplication as Composition](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/matrices-as-transformations-and-matrix-composition.md)
  - [🧭 Inverse, Rank, and Span](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/inverse-rank-and-span.md)
  - [🔀 Basis and Change of Basis](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/basis-and-change-of-basis.md)
  - [✅ Checkpoint: Matrices and Transformations](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/checkpoint-matrices-and-transformations.md)
- **🔆 Projections, Eigenvectors and SVD**
  - [📉 Projections and Least Squares Intuition](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/projections-and-least-squares-intuition.md)
  - [🌀 Eigenvectors and Eigen-Decomposition](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/eigenvectors-and-eigen-decomposition.md)
  - [🔍 A First Look at SVD](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/first-look-at-svd.md) (premium content)
  - [✅ Checkpoint: Projections, Eigen and SVD](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/checkpoint-projections-eigen-and-svd.md) (premium content) — this lesson
- [Course cheatsheet](https://everwise.study/courses/mathematics-for-machine-learning-1-linear-algebra-foundations/cheatsheet.md) (premium content)