RecSys 2021 - Papers and Talks to Chew on
A summary of key papers and talks from the RecSys 2021 conference, focusing on collaborative filtering, model comparisons, and deployment strategies.
A summary of key papers and talks from the RecSys 2021 conference, focusing on collaborative filtering, model comparisons, and deployment strategies.
A guide to building a recommender system using PyTorch on a laptop, covering data acquisition, parsing, and multiple modeling techniques.
A researcher's 2016 highlights: AI mapping to human vision, brain-based autism prediction, and fast matrix factorization algorithms for neuroimaging.
An author critiques the overuse of PCA in data science, arguing it's not a universal solution for classification problems.