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 www.alfredo.motta.name
Compute property recommendations: A collaborative filtering approach - Alfredo Motta
| | d2l.ai
21. Recommender Systems - Dive into Deep Learning 1.0.3 documentation
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| | [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...
| | www.altexsoft.com
Machine Learning Pipeline: Architecture of ML Platform
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| | A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.
| | ml-ops.org
Three Levels of ML Software
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| | Machine Learning Operations
| | www.capicua.com
Machine Learning and Cybersecurity
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| Machine Learning has gained traction over the last few years, cybersecurity being one of them. Let's learn how to use it to boost your system's protection!