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Getting to the Bottom of It: Numerical Methods for Machine Learning
1. What is this?
2. Guidance
2.1. Do You Want a Job?
2.2. Good Coding
3. Array Basics
3.1. Arrays in Numpy
3.2. Dot Product
3.3. Matrix Multiplication
3.4. Solving Systems of Equations
4. Differential Calculus
4.1. Single Variable Calculus
4.2. Multivariable Calculus
4.3. Automatic Differentiation with Jax
4.4. Derivatives, a Helpful Lesson
5. Matrices
5.1. Transpose, Inverse, and Norm
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