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emiruz.com | ||
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finnstats.com
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| | | | | Nonlinear Regression Analysis in R. We learned about R logistic regression and its applications, as well as MLE line estimation and NLRM. | |
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utkuufuk.com
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| | | | | Logistic regression is a simple classification method which is widely used in the field of machine learning. Today were going to talk about how to train our own logistic regression model in Python to | |
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www.ericekholm.com
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| | | | | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of) | |
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d2l.ai
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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... | ||
