Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.

A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…

This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.

Facebook researchers and engineers specializing in computer vision, AR/VR, artificial intelligence, infrastructure, and more will be presenting their research…

The Semantic Reactor is a new plugin for Google Sheets that lets you run natural language understanding (NLU) models on your own data, right from a spreadsheet.

or, Ty Goes Into Far Too Much Detail About Cleaning Data

One of the key components of modern cryptography is the pseudorandom number generator. Katz and Lindell stated, “The use of badly designed or inappropriate random number generators can often leave a good cryptosystem vulnerable to attack. Particular care…

TF-Coder is a program synthesis tool that helps you write TensorFlow code. Instead of coding a tricky tensor manipulation directly, you can just demonstrate it through an illustrative example, and TF-Coder provides the corresponding code automatically.

Inspired by Judea Pearl’s do-calculus for causal inference, the open source framework provides a programmatic interface for popular causal inference methods.

We are releasing Opacus, a new high-speed library for training PyTorch models with differential privacy (DP) that’s more scalable than existing state-of-the-art methods.

Top2Vec learns jointly embedded topic, document and word vectors. - ddangelov/Top2Vec

How to estimate card probabilities with Python