Homepage
Open in app
Sign in
Get started
Nearist.ai
We Help Data Scientists Accelerate Recommender Systems for Next Level Similarity Search.
Follow
Billion Scale Exhaustive Similarity Search
Billion Scale Exhaustive Similarity Search
Nearist has recently benchmarked exhaustive (or “brute force”) k-NN search on a dataset of 1 billion image descriptors (the deep1b…
Chris McCormick
Sep 11, 2018
4 Production Examples of word2vec in Recommender Systems and Advertising
4 Production Examples of word2vec in Recommender Systems and Advert...
In 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…
Chris McCormick
Jul 5, 2018
Word2Vec Tutorial Part 2 — Negative Sampling
Word2Vec Tutorial Part 2 — Negative Sampling
In part 2 of the word2vec tutorial (Part I below), I’ll cover a few additional modifications to the basic skip-gram model which are…
Chris McCormick
Jul 5, 2018
Word2Vec Tutorial — The Skip-Gram Model
Word2Vec Tutorial — The Skip-Gram Model
This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual…
Chris McCormick
Jul 5, 2018
DBSCAN Clustering Tutorial
DBSCAN Clustering Tutorial
DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means.
Chris McCormick
Jul 5, 2018
k-NN Benchmarks Part I — Wikipedia
k-NN Benchmarks Part I — Wikipedia
This article is the first in a series comparing different available methods for accelerating large-scale k-Nearest Neighbor searches on…
Chris McCormick
Jul 5, 2018
About Nearist.ai
Latest Stories
Archive
About Medium
Terms
Privacy
Teams