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machine-learning-algorithms

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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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TheAlgorithms / MATLAB-Octave

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This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

machine-learning algorithm euler project-euler algorithms datastructures matlab machine-learning-algorithms project octave mit-license octave-scripts counting-sort nearest-neighbour-algorithm m-scripts m-script project-euler-solutions
  • Updated Jan 23, 2023
  • MATLAB

jayshah19949596 / Machine-Learning-Models

Star 340

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm
  • Updated May 15, 2017
  • MATLAB

hiroyuki-kasai / SGDLibrary

Star 218

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

machine-learning big-data optimization matlab linear-regression machine-learning-algorithms sgd classification logistic-regression gradient optimization-algorithms online-learning gradient-descent-algorithm variance-reduction stochastic-gradient-descent newtons-method stochastic-optimization-algorithms quasi-newton softmax-classification svrg
  • Updated May 11, 2023
  • MATLAB

hiroyuki-kasai / RSOpt

Star 63

Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization
  • Updated Jan 5, 2023
  • MATLAB

hiroyuki-kasai / SparseGDLibrary

Star 53

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver
  • Updated Nov 20, 2018
  • MATLAB

hiroyuki-kasai / OLSTEC

Star 34

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

machine-learning machine-learning-algorithms matrix-factorization tensor online-learning background-subtraction matrix-completion tensor-decomposition subspace-learning low-rank-factorization gradient-descent-algorithm stochastic-gradient-descent cp-decomposition large tensor-cp-decomposition grasta grouse petrels sequential-data-analysis
  • Updated Jan 13, 2023
  • MATLAB
Machine-Learning-Toolbox

JingweiToo / Machine-Learning-Toolbox

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This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor
  • Updated Jan 10, 2021
  • MATLAB
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