lazylearning

Lazy Learning vs. Eager Learning

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Machine learning models can be broadly categorized based on how they learn from data. Two primary paradigms that define this learning approach are lazy learning and eager learning. These terms describe the fundamental differences in how models process training data and make predictions. Lazy learning delays generalization until a query is made, whereas eager learning … Read more

Lazy Learning Algorithms: Benefits and Use Cases

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Machine learning models generally fall into two categories: eager learning and lazy learning. While eager learning algorithms build a model during the training phase and generalize from training data, lazy learning algorithms defer the learning process until a prediction is required. Instead of creating an explicit model, lazy learning algorithms store training data and perform … Read more