Chris McCormickinTowards Data ScienceHow to Apply BERT to Arabic and Other LanguagesUp to this point, I’ve been writing tutorials almost exclusively on NLP applications using the English language. While the general…Oct 14, 20201Oct 14, 20201
Chris McCormickinNearist.aiBillion Scale Exhaustive Similarity SearchNearist has recently benchmarked exhaustive (or “brute force”) k-NN search on a dataset of 1 billion image descriptors (the deep1b…Sep 12, 2018Sep 12, 2018
Chris McCormickinNearist.ai4 Production Examples of word2vec in Recommender Systems and AdvertisingIn this article, I wanted to share about a trend that’s occurred over the past few years of using the word2vec model on not just natural…Jul 5, 2018Jul 5, 2018
Chris McCormickinNearist.aiWord2Vec Tutorial Part 2 — Negative SamplingIn part 2 of the word2vec tutorial (Part I below), I’ll cover a few additional modifications to the basic skip-gram model which are…Jul 5, 20181Jul 5, 20181
Chris McCormickinNearist.aiWord2Vec Tutorial — The Skip-Gram ModelThis tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual…Jul 5, 20181Jul 5, 20181
Chris McCormickinNearist.aiDBSCAN Clustering TutorialDBSCAN is a popular clustering algorithm which is fundamentally very different from k-means.Jul 5, 2018Jul 5, 2018
Chris McCormickinNearist.aik-NN Benchmarks Part I — WikipediaThis article is the first in a series comparing different available methods for accelerating large-scale k-Nearest Neighbor searches on…Jul 5, 2018Jul 5, 2018
Chris McCormick4 Production Examples of word2vec in Recommender Systems and AdvertisingIn this article, I wanted to share about a trend that’s occurred over the past few years of using the word2vec model on not just natural…Jul 5, 2018Jul 5, 2018