Sep 7, 2022[2/3] Recommendation: Graph Convolutional Networks for Recommender Systemsby Paula Gómez Duran, PhD student at the University of Barcelona Recommender Systems (RS) are influencing nearly every decision we make, from the film we watch until which takeout food we choose. Besides, every action we make serves as data for lately train new recommendation engines. The way modern RS work is by processing a huge number of signals inferred from…Graph Convolution Network11 min readGraph Convolution Network11 min read
Jun 21, 2022[1/3] Recommendation: Vanilla pipeline for Recommender Systemsby Paula Gómez Duran, PhD student at the University of Barcelona Nowadays, there is more multimedia content available than ever before and so it can be difficult sometimes to determine what could actually be interesting for a given user. Recommender systems (RS) are a type of artificial intelligence that helps users find and select items (e.g., books, movies, restaurants, products) from…Recommender Systems11 min readRecommender Systems11 min read
Apr 25, 2022PointNet Explained Visuallyby Mariona Carós, PhD student at the University of Barcelona PointNet is a deep net architecture that consumes point clouds for applications ranging from object classification, part segmentation, to scene semantic parsing. …Pointnet9 min readPointnet9 min read
Mar 22, 2022Can Transformers learn to add like humans?by Pere Gilabert, PhD student at the University of Barcelona Contents Introduction Create the dataset Transformer model architecture Train and test Self-Attention visualization Introduction Transformers are here to stay. Many problems that had until now been solved sequentially with the use of recurrent networks (LSTM, GRU…) can now be better solved with…Attention8 min readAttention8 min read
Dec 14, 2021Resources for Data ScientistsLooking for resources to understand the math behind data science and machine learning? This is our advice. Mathematics for Machine Learning, by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. Probability Course EDX. Immersive linear algebra by J. Ström, K. Åström, and T. Akenine-Möller Basic Linear Algebra for Deep Learning and Machine Learning Python TutorialData Science1 min readData Science1 min read
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