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Research

Feature Labs was born from our work at MIT. Here's a sampling of our work.
Choosing an API framework for your TypeScript backend
Engineering

Choosing an API framework for your TypeScript backend

If you’re a backend developer, you’re probably aware of Node.js. If you’re not, it’s a run-time environment that includes everything required to execute a program written in JavaScript. It’s both efficient and scalable, which has made it one of the best ways to develop
Aug 4, 2022 12 min read
Type Inference for Natural Language
Engineering

Type Inference for Natural Language

One step in natural language data analysis is actually recognizing whether or not our data can be defined as natural language.
Jun 6, 2022 10 min read
Machine learning 2.0 - Engineering data driven AI products
Research

Machine learning 2.0 - Engineering data driven AI products

A paradigm shift from the current practice of creating machine learning models.
Mar 6, 2018 1 min read
Deep Feature Synthesis
Research

Deep Feature Synthesis

Towards automating data science endeavors
Sep 22, 2017 1 min read
Label, Segment, Featurize
Research

Label, Segment, Featurize

a cross domain framework for prediction engineering
Dec 26, 2016 1 min read
What would a data scientist ask?
Research

What would a data scientist ask?

Automatically formulating and solving prediction problems
Dec 26, 2016 1 min read
Towards increasing data scientists’ productivity by 1000x
Research

Towards increasing data scientists’ productivity by 1000x

How to make data scientists more efficient
Oct 12, 2016
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