Ask Slater

Slater Victoroff | July 10, 2018

Is Euclidean distance meaningful for high dimensional data?

  The short answer is no. At high dimensions, Euclidean distance loses pretty much all meaning. However, it’s not something […]

Data Science, Machine Learning, Text Data Use Case

indico | July 5, 2018

ODSC 2018: Effective Transfer Learning for NLP

  Our machine learning architect and co-founder, Madison May, was a featured presenter at the 2018 Open Data Science Conference […]

Business

indico | July 5, 2018

RE•WORK Deep Learning Summit Panel: Redefine Your Industry with Applications of Deep Learning

  In this video, our CEO Tom Wilde weighs in on opportunities for businesses to refine their industries with deep […]

Announcements, Data Science, indico, Machine Learning

Madison May | June 26, 2018

Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods

  Because Indico has benefited so much from hard work in the open-source community, we like to make sure a […]

Developers, Hackathon Spotlight, Text Data Use Case

Amanda Sivaraj | June 17, 2018

Inspiring Hack Projects: Jobalytics

A few weeks back, we had the pleasure of supporting EngHack 2018. We caught up with the first place winners […]

Ask Slater

Slater Victoroff | May 26, 2018

Is it possible to learn without data (or at least one or two samples)—like humans—in AI?

  Humans do not learn without data, but as you’ve said, they can often learn with very small amounts of […]

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