Editing NBML Course

== Noisebridge Machine Learning Course ==
We're trying to come up with a hands-on curriculum for teaching [[Machine_Learning|Machine Learning at Noisebridge]]. Please help out in any way you can, such as:
#Volunteer to teach a course in one of the subjects below
#Fill in one of the subjects below with links to learning material and related software
#Show up to classes and asking questions
#Join the [https://www.noisebridge.net/mailman/listinfo/ml ML Mailing List] and talk about stuff
#Don't talk shit on mathematics - it wants to be your friend!

=== Online Machine Learning Courses ===
*[http://www.stanford.edu/class/cs229/ Stanford CS229]
*[http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/ MIT OCW 6.867]

=== Curriculum ===

==== [[Machine_Learning/NBML/Machine Learning|Machine Learning]] ====
*[[Machine_Learning/NBML/Machine Learning/Data|The data]]
*[[Machine_Learning/NBML/Machine Learning/Model|The model]]
**[[Machine_Learning/NBML/Machine Learning/Model/Discriminative vs Generative|Discriminative vs Generative Models]]
*[[Machine_Learning/NBML/Machine Learning/Learning|Unsupervised vs. Supervised Learning]]
*[[Machine_Learning/NBML/Machine Learning/Training|Training a Model]]
**[[Machine_Learning/NBML/Machine Learning/Maximum Likelihood|Maximum Likelihood]]
**[[Machine_Learning/NBML/Machine Learning/Optimization|Optimization]]
***[[Machine_Learning/NBML/Machine Learning/Optimization/Gradient Descent|Gradient Descent]]
***[[Machine_Learning/NBML/Machine Learning/Optimization/Lagrange Optimization|Lagrange Optimization]]
***[[Machine_Learning/NBML/Machine Learning/Optimization/Expectation-Maximization|Expectation Maxmimization]]
**[[Machine_Learning/NBML/Machine Learning/Regularization|Overfitting and Regularization]]
**[[Machine_Learning/NBML/Machine Learning/Bias-variance Tradeoff|Bias-Variance Tradeoff]]

==== [[Machine_Learning/NBML/Linear Regression|Linear Regression]] ====
*[[Machine_Learning/NBML/Linear Regression/Least Squares|Least Squares Formulation]]
*[[Machine_Learning/NBML/Linear Regression/Maximum Likelihood| Maximum Likelihood Formulation]]
*[[Machine_Learning/NBML/Linear Regression/Regularization|Regularization]]
**[[Machine_Learning/NBML/Linear Regression/Ridge|Ridge Regression (L2)]]
**[[Machine_Learning/NBML/Linear Regression/Lasso|Lasso Regression (L1)]]
**[[Machine_Learning/NBML/Linear Regression/LARS|Least-angle/Elastic Net Regression]]
*[[Machine_Learning/NBML/Linear Regression/Bayesian|Bayesian Linear Regression]]

==== [[Machine_Learning/NBML/Linear Classification|Linear Classification]] ====
*[[Machine_Learning/NBML/Linear Classification/Fishers Discriminant|Fisher's Linear Discriminant]]
*[[Machine_Learning/NBML/Linear Classification/Logistic|Logistic Regression]]
*[[Machine_Learning/NBML/Linear Classification/Probit|Probit Regression]]

==== [[Machine_Learning/NBML/GLM|Generalized Linear Models]] ====

==== [[Machine_Learning/NBML/GP|Gaussian Process]] ====

==== [[Machine_Learning/NBML/SVM|Support Vector Machines]] ====

==== [[Machine_Learning/NBML/Neural Networks|Neural Networks]] ====
*[[Machine_Learning/NBML/Neural Networks/Feedforward|Feedforward Nets]]
*[[Machine_Learning/NBML/Neural Networks/Hopfield|Hopfield Nets/Autoassociators]]
*[[Machine_Learning/NBML/Neural Networks/Recurrent|Recurrent Nets/Boltzmann Machines]]
*[[Machine_Learning/NBML/Neural Networks/Deep Belief|Deep Belief Nets]]

==== [[Machine_Learning/NBML/Clustering|Clustering and Dimensional Reduction]] ====
*[[Machine_Learning/NBML/Clustering/KMeans|K-Means Clustering]]
*[[Machine_Learning/NBML/Clustering/PCA|Principle Component Analysis]]
*[[Machine_Learning/NBML/Clustering/ICA|Independent Component Analysis]]
*[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization|Dimensional Reduction and Clustering for Visualization]]
**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Self Organizing Map (algebraic perspective) | Self Organizing Map (algebraic perspective)]]
**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Supervised Methods and Refinement (LVQ)|Supervised Methods and Refinement (LVQ)]]
*[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text |Clustering Techniques for Text Collections]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Spherical K-Means |Spherical K-Means]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Word Sense Disambiguation (Sense Clusters)|Word Sense Disambiguation (Sense Clusters)]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)|Latent Semantic Indexing (LSI)]]
***[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)/Keyword Relatedness Clustering (Semantic Engine)|Keyword Relatedness Clustering (Semantic Engine)]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Text Clustering with Self Organizing Map (WebSOM)|Text Clustering with Self Organizing Map (WebSOM)]]

==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ====
*[[Machine_Learning/NBML/Graphical Models/Bayesian|Bayesian Networks]]
*[[Machine_Learning/NBML/Graphical Models/Markov Random Fields|Markov Random Fields]]

==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ====

==== [[ Other Perspectives | Other Perspectives]] ====
*[[Machine_Learning/Linguistics and The Role of Language | Linguistics and The Role of Language]]
**[[Machine_Learning/Symbolic Methods and Machine Understanding |Symbolic Methods and Machine Understanding]]
*[[Machine_Learning/Simulation and Integrated Software Systems |Simulation and Integrated Software Systems]]
**[[Machine_Learning/Autonomous Agents and Evolutionary (Learning) Algorithms |Autonomous Agents and Evolutionary (Learning) Algorithms]]

==== 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. Wikipedia is your friend. ''
*[[Machine_Learning/NBML/Linear Algebra|Linear Algebra]]
**[[Machine_Learning/NBML/Linear Algebra/Vectors and Matrices|Vectors and Matrices]]
**[[Machine_Learning/NBML/Linear Algebra/Solving Linear Systems|Solving Linear Systems ]]
***[[Machine_Learning/NBML/Linear Algebra/Solving Linear Systems/LU Decomposition |LU Decomposition]]
**[[Machine_Learning/NBML/Linear Algebra/Vector Spaces|Vector Spaces]]
**[[Machine_Learning/NBML/Linear Algebra/Vector Spaces/Orthogonalization algorithms|Orthogonalization algorithms]]
**[[Machine_Learning/NBML/Linear Algebra/Eigenvectors and Eigenvalues|Eigenvectors and Eigenvalues]]
**[[Machine_Learning/NBML/Linear Algebra/Quadratic Forms|Quadratic Forms]]
**[[Machine_Learning/NBML/Linear Algebra/Singular Value Decomposition (SVD) |Singular Value Decompostion (SVD)]]
*[[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/Calculus/Fourier Transform | Fourier Transform]]
**[[Machine_Learning/NBML/Calculus/Vector Calculus | Vector Calculus]]
***[[Machine_Learning/NBML/Calculus/Vector Calculus/Optimization, Duality, Lagrange Multipliers and Kuhn-Tucker Theorem |Optimization, Duality, Lagrange Multipliers and Kuhn-Tucker Theorem ]]
*[[Machine_Learning/NBML/Probability|Probability Theory]]
**[[Machine_Learning/NBML/Probability/Basic Probability|Basic Probability]]
***[[Machine_Learning/NBML/Probability/Basic Probability/Bayes Theorem | Bayes Theorem]]
**[[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/Relative Entropy|Relative Entropy]]
***[[Machine_Learning/NBML/Probability/Information Theory/Mutual Information|Mutual Information]]
*[[Machine_Learning/NBML/Geometry for Computer Vision and Simulated Environments |Geometry for Computer Vision and Simulated Environments]]
*[[Machine_Learning/NBML/Logic and Set Theory|Logic and Set Theory]]
**[[Machine_Learning/NBML/Logic and Set Theory/Fuzzy Logic and Control Theory |Fuzzy Logic and Control Theory]]