Online Machine Learning is one of approach of machine learning. In online learning, machine learning model continuously improves the performance by processing the new upcoming data.
Let's understand, So far after completing training on company data, the ML model goes for deployment. Where it is used in real time situations. Up to some time it works well with previous data. But things change with time, after some time the performance of the model is decreases. And the model needs to be retrained with new data. So model is retrained with new + old data. This technique is called as Batch Learning we will understand more about it in next blog. So online machine learning, it is a little different. The machine learning model takes real-time information from sensors in environment, or from users over the internet, or something else that comes in as input in real time. The machine learning program is made to deal with these real-time data streams and produce results. Online machine learning can help make machine learning algorithms more capable in many fields and industries.