Shypd.aiThe largest open index of AI toolsrecommendation is an Open Source research tool that provides a workshop on building recommendation systems using machine learning and deep learning techniques. It covers various models, methods, and tools for developing robust recommendation engines.
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recommendation is an Open Source workshop resource designed for individuals interested in building recommendation systems using both machine learning and deep learning. The resource delves into the theoretical underpinnings, including ML & DL formulation, prediction vs. ranking, and similarity metrics. It explores different paradigms such such as content-based, collaborative filtering, knowledge-based, hybrid, and ensemble approaches. Users can learn to work with various data types, including tabular, images, and text, and implement models like Matrix Factorization, Auto-Encoders, Wide & Deep, and Sequence Modelling. The workshop also covers practical aspects like setup, encoding, design, training, and evaluation, providing a comprehensive guide for developing and deploying recommendation systems.
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