Illustration of Machine Learning: Incremental Learning
We're glad you're here for another episode of Illustrated Machine Learning. You already know the drill if you've read the other pieces in the collection. By visualizing it, we take a (boring-sounding) machine learning subject and make it entertaining! This article will discuss the idea of incremental learning, in which computer learning models accumulate new knowledge over time while preserving and expanding on earlier knowledge. However, let's first discuss how the process of creating models works today before moving on.
When creating models, we typically use a technique known as static learning. Using the most recent data, we train a model in this procedure. During the training process, we adjust and fine-tune the model. And after we're satisfied with its performance, we put it into use.
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