Online machine learning is a type of machine learning where the model is trained incrementally as new data becomes available, rather than being trained on a fixed dataset all at once (batch learning). This approach is particularly useful in scenarios where data arrives in a continuous stream, allowing the model to adapt and update itself continuously.
Articles by others on the same topic
There are currently no matching articles.