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Understanding the Difference Between Algorithm and Model in Machine Learning Development
In machine learning development, distinguishing between an algorithm and a model is essential for building efficient systems. An algorithm is a step-by-step procedure used to process data, identify patterns, and make decisions. A model, on the other hand, is the result of training an algorithm on data and is used for making predictions. The choice of algorithm directly impacts the performance of the model, and both are key components in developing successful machine learning solutions. Mastering this difference is fundamental for anyone involved in machine learning development. 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 7:19 AM Number of Views: 7	Item Owner : Sunil Rawat Contact Email: Contact Phone: 19703163846

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USNetAds > Computers > Information Technologies > Item ID 133052014

2025-06-30 (0.572 sec)