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You are here		jonathanbgn.com The Rise of Self-Supervised Learning \| Jonathan Bgn
\|	\|	d2l.ai 21. Recommender Systems - Dive into Deep Learning 1.0.3 documentation [AI summary] This chapter provides an in-depth exploration of recommender systems, covering fundamental concepts and advanced techniques. It begins with an overview of collaborative filtering and the distinction between explicit and implicit feedback. The chapter then delves into various recommendation tasks and their evaluation methods. It introduces the MovieLens dataset as a practical example for building recommendation models. Subsequent sections discuss matrix factorization, AutoRec using autoencoders, personalized ranking with Bayesian personalized ranking and hinge loss, neural collaborative filtering, sequence-aware recommenders, feature-rich models, and deep factorization machines like DeepFM. The chapter concludes with implementation details and ev...	4.4 parsecs Travel
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\|	\|	bdtechtalks.com Machine learning: What is the transformer architecture? - TechTalks The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.	3.3 parsecs Travel
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\|	\|	research.google Self-Supervised Learning Advances Medical Image Classification Posted by Shekoofeh Azizi, AI Resident, Google Research In recent years, there has been increasing interest in applying deep learning to medical im...	2.9 parsecs Travel
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\|	\|	garrit.xyz How embedding models encode semantic meaning \| Garrit's Notes Generalist software developer writing about scalable infrastructure, fullstack development and DevOps practices.	12.5 parsecs Travel
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