stevenxchung / Stanford-Machine-Learning-CourseworkLinks
Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition…
☆24Updated 7 years ago
Alternatives and similar repositories for Stanford-Machine-Learning-Coursework
Users that are interested in Stanford-Machine-Learning-Coursework are comparing it to the libraries listed below
Sorting:
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 10 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆18Updated 10 years ago
- Bayesian System IDentification☆27Updated 7 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Visualize optimization algorithms in MATLAB.☆155Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆75Updated 4 years ago
- Optimization Problems Toolbox☆14Updated 10 months ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆34Updated 3 months ago
- Gaussian Process Regression using GPML toolbox☆36Updated 5 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆80Updated 8 years ago
- Repo containing a copy of mcbench benchmarks☆114Updated 7 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- Matlab implementation of a Generative Adversarial Network☆24Updated 7 years ago
- Matlab implementation of particle swarm optimization. Well documented with examples.☆91Updated 9 years ago
- MATLAB implementations of a variety of nonlinear programming algorithms.☆172Updated 5 years ago
- Newer Matlab Implementation of Machine Learning Control☆15Updated last week
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- ☆37Updated 7 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆20Updated last year
- Matlab library for gradient descent algorithms: Version 1.0.1☆67Updated 7 years ago
- A matlab version of lng short term memory☆23Updated 9 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆26Updated 4 years ago
- Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…☆41Updated 10 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 9 years ago
- MATLAB Tool for Multi-Objective Optimization☆60Updated 7 months ago
- Whale Optimization Algorithm used to train Neural Network☆19Updated 8 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago