continuous – Andrew Fairless, Ph.D.

What I Read: Dense Vectors

By Andrew Fairless on December 14, 2021November 16, 2021

https://www.pinecone.io/learn/dense-vector-embeddings-nlp/ Dense Vectors: Capturing Meaning with CodeJames BriggsData Scientist “But since the days of word2vec, developments in representing language have advanced at ludicrous speeds. This article will explore why weContinue readingWhat I Read: Dense Vectors

What I Read: data distributions

By Andrew Fairless on January 1, 2021December 22, 2020

https://www.kdnuggets.com/2020/06/overview-data-distributions.html Overview of data distributionsTags: Binomial, Distribution, Normal Distribution, Poisson Distribution, Probability, StatisticsBy Madalina Ciortan, Data scientist, PhD researcher in bioinformatics at ULB “With so many types of data distributionsContinue readingWhat I Read: data distributions

What I Read: Self Supervised Representation Learning in NLP

By Andrew Fairless on December 28, 2020December 20, 2020

https://amitness.com/2020/05/self-supervised-learning-nlp/ Self Supervised Representation Learning in NLPPublished May 23, 2020 in nlp “While Computer Vision is making amazing progress on self-supervised learning only in the last few years, self-supervised learningContinue readingWhat I Read: Self Supervised Representation Learning in NLP

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