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=== Curriculum === | === Curriculum === | ||
==== The Fundamentals: Basic Math ==== | |||
''Note: it's not essential to understand everything in this section! But the more you learn, the more things will make sense.'' | |||
*[[Machine_Learning/NBML/Linear Algebra|Linear Algebra]] | |||
**[[Machine_Learning/NBML/Linear Algebra/Vectors and Matricies|Vectors and Matricies]] | |||
**[[Machine_Learning/NBML/Linear Algebra/Solving Linear Systems|Solving Linear Systems: Gaussian Elimination]] | |||
**[[Machine_Learning/NBML/Linear Algebra/Vector Spaces|Vector Spaces]] | |||
**[[Machine_Learning/NBML/Linear Algebra/Eigenvectors and Eigenvalues|Eigenvectors and Eigenvalues]] | |||
**[[Machine_Learning/NBML/Linear Algebra/Quadratic Forms|Quadratic Forms]] | |||
*[[Machine_Learning/NBML/Calculus|Calculus]] | |||
**[[Machine_Learning/NBML/Calculus/Derivatives, Gradients, and Hessians|Derivatives, Gradients, and Hessians]] | |||
**[[Machine_Learning/NBML/Calculus/Integration|Integration]] | |||
*[[Machine_Learning/NBML/Probability|Probability Theory]] | |||
**[[Machine_Learning/NBML/Probability/Distribution and Density Functions|Distribution and Density Functions]] | |||
***[[Machine_Learning/NBML/Probability/Distribution and Density Functions/Discrete Distributions|Discrete Distributions]] | |||
***[[Machine_Learning/NBML/Probability/Distribution and Density Functions/Continuous Distributions|Continuous Distributions]] | |||
**[[Machine_Learning/NBML/Probability/Random Variables and Vectors|Random Variables and Vectors]] | |||
**[[Machine_Learning/NBML/Probability/Expectation|Expectation]] | |||
**[[Machine_Learning/NBML/Probability/Variance and Covariance|Variance and Covariance]] | |||
**[[Machine_Learning/NBML/Probability/Correlation Functions|Correlation Functions]] | |||
**[[Machine_Learning/NBML/Probability/Law of Large Numbers|Law of Large Numbers]] | |||
**[[Machine_Learning/NBML/Probability/Information Theory|Information Theory]] | |||
***[[Machine_Learning/NBML/Probability/Information Theory/Entropy|Entropy]] | |||
***[[Machine_Learning/NBML/Probability/Information Theory/Mutual Information|Mutual Information]] | |||
==== [[Machine_Learning/NBML/Machine Learning|Machine Learning]] ==== | ==== [[Machine_Learning/NBML/Machine Learning|Machine Learning]] ==== | ||
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==== [[Machine_Learning/NBML/GLM|Generalized Linear Models]] ==== | ==== [[Machine_Learning/NBML/GLM|Generalized Linear Models]] ==== | ||
==== [[Machine_Learning/NBML/SVM|Support Vector Machines]] ==== | ==== [[Machine_Learning/NBML/SVM|Support Vector Machines]] ==== | ||
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*[[Machine_Learning/NBML/Clustering/PCA|Principle Component Analysis]] | *[[Machine_Learning/NBML/Clustering/PCA|Principle Component Analysis]] | ||
*[[Machine_Learning/NBML/Clustering/ICA|Independent Component Analysis]] | *[[Machine_Learning/NBML/Clustering/ICA|Independent Component Analysis]] | ||
==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ==== | ==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ==== | ||
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==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ==== | ==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ==== | ||