Overview of Machine Learning Part 1
This article provides an overview of the classic supervised and unsupervised ML methods as well as fundamental concepts required for understanding how to develop generalizable and high-performing ML applications. It also describes the important steps for developing a ML model and how decisions made in these steps affect model performance and ability to generalize.
Source: Neuroimaging Clinics - Category: Radiology Authors: Farhad Maleki, Katie Ovens, Keyhan Najafian, Behzad Forghani, Caroline Reinhold, Reza Forghani Source Type: research