└── README.md


/README.md:
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 1 | ### What is this
 2 | My notes when reading [Mathematics for Machine Learning](https://mml-book.github.io/)
 3 | 
 4 | 
 5 | - [2.Linear Algebra.pdf](https://github.com/higepon/mml/releases/download/0.0.2/2.Linear.Algebra.pdf)
 6 | - [3.Analytic Geometry.pdf](https://github.com/higepon/mml/releases/download/0.0.3/3.Analytic.Geometry.pdf)
 7 | - [4.Matrix Decomposition.pdf](https://github.com/higepon/mml/releases/download/0.0.4/4.Matrix.Decomposition.pdf)
 8 | - [5.Vector Calculus.pdf](https://github.com/higepon/mml/releases/download/0.0.5/5.Vector.Calculus.pdf)
 9 | - [6.Probability and Distributions.pdf](https://github.com/higepon/mml/releases/download/0.0.6/6.Probability.and.Distributions.pdf)
10 | - [7.Continuous Optimization.pdf](https://github.com/higepon/mml/releases/download/0.0.7/7.Continuous.Optimization.pdf)
11 | - [8.When Models Meets Data.pdf](https://github.com/higepon/mml/releases/download/0.0.8/8.When.Models.Meets.Data.pdf)
12 | - [9.Linear Regression.pdf](https://github.com/higepon/mml/releases/download/0.0.9/9.Linear.Regression.pdf)
13 | - [10.Dimentionality Reduction With Principal Component Analysis.pdf](https://github.com/higepon/mml/releases/download/0.1.0/10.Dimensionality.Reduction.With.Principal.Component.Analysis.pdf)
14 | - [11.Density Estimation With Gaussian Mixture Models](https://github.com/higepon/mml/releases/download/0.1.1/11.Density.Estimation.With.Gaussian.Mixture.Models.pdf)
15 | - [12.Classification With Support Vector Machines](https://github.com/higepon/mml/releases/download/0.1.2/12.Classification.With.Support.Vector.Machines.pdf)
16 | 


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