stevenxchung / Stanford-Machine-Learning-Coursework
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…
☆23Updated 6 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
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆14Updated 6 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- 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
- Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave☆15Updated 8 years ago
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆35Updated last year
- Yarpiz Evolutionary Algorithms Toolbox for MATLAB☆47Updated 4 years ago
- Optimization Problems Toolbox☆13Updated 4 months ago
- Decomposition Based Multi-Objective Particle Swarm Optimization☆26Updated 8 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 6 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆25Updated 4 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆18Updated 3 years ago
- Whale Optimization Algorithm used to train Neural Network☆19Updated 8 years ago
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆20Updated 5 years ago
- Wind speed prediction using machine learning algorithms and time-series models☆11Updated 9 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Repo containing a copy of mcbench benchmarks☆110Updated 6 years ago
- Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )☆20Updated 7 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- A matlab version of lng short term memory☆22Updated 9 years ago
- Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algo…☆21Updated 3 years ago
- Demo files for a Japanese web seminar "Prediction and Classification of time series data with LSTM"☆12Updated last year
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 6 years ago
- Kalman Filter for Beginners: with MATLAB Examples☆70Updated 10 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆12Updated 4 years ago
- ☆32Updated last year