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Key Differences Between Algorithm and Model in Machine Learning Development
In Machine Learning Development, it’s important to understand the distinction between an algorithm and a model. An algorithm refers to the mathematical procedure or set of rules that process input data to find patterns or insights. A model, however, is the result of applying an algorithm to data, trained to make predictions or decisions based on that data. While algorithms guide the learning process, models represent the learned output. Grasping these concepts is vital for anyone involved in Machine Learning Development to build effective and accurate systems. See more: https://www.softude.com/blog/difference-between-algorithm-and-model-in-machine-learning-development/

Target State: Texas Target City : Houston Last Update : Jun 30, 2025 7:20 AM Number of Views: 5	Item Owner : Sunil Rawat Contact Email: Contact Phone: 19703163846

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Hot-Web-Ads > Computers > Information Technologies > Item ID 15660982

2025-06-30 (0.334 sec)