The problem below has been borrowed (with minor changes) from the Introduction to Machine Learning course offered by Dr. Parag Singla at IIT Delhi (Fall 2013 Semester). The codes in this repository ...

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 video ...

Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications.

Get the skills and tools you need to join the lucrative field of engineering and data science with the Complete MATLAB Programming Master Class Bundle for just $23.20—over 90 percent off.

A new AI study describes a machine learning algorithm that was able to classify schizophrenia, based on brain images, with 87 percent accuracy. ... MATLAB (The MathWorks, ...

Machine-learning algorithms are very rarely perfect and have succeeded best in cases where there’s a high degree of fault tolerance, such as search results or movie recommendations.

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes.

Welcome! This is a Matlab toolkit for distance metric learning, including the implementation of a number of published machine learning algorithms in this area. The first version of this toolkit has ...

Machine learning is hard.Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications.