When designing and implementing a machine learning model, ensuring it is continually updated is a challenge that all engineers encounter. In this article, I explore the online machine learning technique that I used during a project and present how it was implemented for effective results. Choosing a machine learning method Machine learning solutions can be mainly split into offline and online methods. Online machine learning is a method in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once. From this concept, the core components are the data in a sequential order and updating at each step. Online machine learning is necessary is based on the following reasons: Detection models...
Online Machine Learning: how to integrate user feedback
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