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Introduction
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Classroom Contents
Linear Algebra - Math for Machine Learning
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- 1 Introduction
- 2 Why care about linear algebra?
- 3 Linear algebra is not like algebra
- 4 Linear algebra is more like programming
- 5 Arrays are an optimizable representation of functions
- 6 Arrays represent linear functions
- 7 "Refactoring" shows up in linear algebra
- 8 Any function can be refactored
- 9 The SVD is the generic refactor applied to a matrix
- 10 Using the SVD in ML
- 11 Review of takeaways and more resources
