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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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Add more algorithms!

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cozek
cozek commented Oct 10, 2019

EDIT 6/10/20: If you are making a PR for hacktoberfest, please say so in your PR description so that I can add
the hacktoberfest-accepted label.

This repo needs more algorithms. If you see any missing algorithms, kindly contribute.
Hackotberfest participants are welcome!
I will list some of the algorithms that are up for grabs. However, please check if the algorithm
is already in ou

Read more
good first issue hacktoberfest help wanted

hiroyuki-kasai / NMFLibrary

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MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

matlab machine-learning-algorithms bigdata matrix-factorization constrained-optimization data-analysis robust-optimization gradient-descent matlab-toolbox clustering-algorithm optimization-algorithms nmf online-learning stochastic-optimizers stochastic-gradient-descent nonnegativity-constraints orthogonal probabilistic-matrix-factorization nonnegative-matrix-factorization sparse-representations
  • Updated Oct 14, 2020
  • MATLAB

jayshah19949596 / Machine-Learning-Models

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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 / RSOpt

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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 May 31, 2019
  • MATLAB

hiroyuki-kasai / SparseGDLibrary

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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

AbhiSaphire / MachineLearning-CourseraCourse-StanfordUniversity

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This repo is for anyone who wants help in understanding and solving Andrew Ng's Coursera Course on Machine Learning Assignments and Quizes. (YEAR 2020)

machine-learning svm machine-learning-algorithms artificial-neural-networks logistic-regression machine-learning-coursera machine-learning-stanford quizes andrew-ng-course assignment-solutions andrew-ng-machine-learning quiz-solutions abhisaphire
  • Updated May 19, 2020
  • MATLAB
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