Shypd.aiThe largest open index of AI toolspersonalized-recommender-course is an open-source course teaching how to build and deploy real-time personalized recommenders. It covers architecting modern ML systems, feature engineering, and model deployment for fashion articles.
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personalized-recommender-course is an open-source educational resource focused on the development and deployment of real-time personalized recommender systems. The course specifically uses H&M fashion articles as a case study, guiding users through the process of architecting a modern machine learning system. Key topics include feature engineering, which is crucial for preparing data for recommendation models, and the practical aspects of model deployment to ensure the recommender can operate in a live environment. This course is a collaborative effort between Decoding ML and Hopsworks, suggesting a blend of theoretical knowledge and practical, platform-specific application.
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