Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve …

Learn about MATLAB support for machine learning. Resources include examples, documentation, and code describing different machine learning algorithms.

Accelerating and Parallelizing MATLAB Code. Make MATLAB code run faster. Compile MATLAB code into MEX files and solve computationally and data-intensive problems using multicore …

This is the code repository for Machine Learning Classification Algorithms using MATLAB [Video], published by Packt. It contains all the supporting project files necessary to work through the …

This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab …

1. Read the "Introducing Machine Learning" e-book (available on Canvas). 2. Read "Supervised Learning Workflow and Algorithms" https://www.mathworks.com/help/stats/supervised …

This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained.

Model Selection: Choose an appropriate machine learning algorithm based on the problem at hand and the characteristics of the dataset. MATLAB offers a wide range of algorithms, …

This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab …

Get started with a MATLAB machine learning example presented in an easy-to-follow tutorial format. Get this ebook, download the code, and step through a hands-on machine learning …