Conceptual Framework on Machine Learning Algorithms in Healthcare

Abstract

There are way too many machine learning methods available to everyone. Many of them are twists on well-known themes that are usually faster or require less computing power. Learners are the heart of any machine learning programme. They try to reduce a cost function, which is also called an error function or loss function, on training and test data. In real life, x usually stands for more than one data point. As a result, data are written as a vector. In the previous case, x is the day of the week that f(x) is asked to find. If the data was available, we could use more than just day (x1) to improve the forecast. For example, we could use time of day (x2), weather (x3), place in queue (x4), and so on. It is the facts that teach classification systems how to sort things into groups.

KEYWORDS Machine Learning, Algorithms, business, deep learning.