MATLAB Step-by-Step Guide

Master machine learning! This will explain the entire workflow for developing real machine learning applications.

This ebook outlines the basics of machine learning and introduces supervised and unsupervised methods as a sequel to "Machine Learning with MATLAB." Using a heart sound classifier as an example, it explains the entire workflow for developing a real machine learning application, from data loading to the distribution of the trained model. It presents essential techniques for deriving accurate models at each learning stage and supports the acquisition of more challenging learning tasks, such as algorithm selection, model parameter optimization, and avoiding overfitting. [Contents (excerpt)] ■ Introduction ■ Development of Heart Sound Classification Application with MATLAB ■ Essential Tools for Machine Learning ■ Want to know more? *For more details, please refer to the PDF materials or feel free to contact us.

Software (middle, driver, security, etc.)