Company

By Romeo Leon, October 25, 2016

CrowdFlower Expands to Israel

We’re thrilled to announce our expansion into Israel with the opening of an office and the hiring of Nati Catalan! Now, […] [...]

AI

By Nick Gaylord, October 18, 2016

Understanding your model statistics

Two weeks ago, we were very happy to announce the launch of CrowdFlower AI in partnership with Microsoft Azure Machine […] [...]

AI

By Tyler Schnoebelen, October 13, 2016

U.S. Presidential Debates Through the Eyes of a Computer

This post wraps up a series I’ve been doing on using machine learning models to understand recent American political debates […] [...]

Company

By Leena Kamath, October 11, 2016

Is AI mean or magic? A webinar you shouldn’t miss.

AI is hitting primetime as never before. 50 years after an AI Winter put the brakes on large-scale AI research, […] [...]

AI

By Tyler Schnoebelen, October 10, 2016

The most Clintonian and Trumpian moments of the VP Debate

Last week, I wrote about the most Clintonian and Trumpesque moments of the first presidential debate. In this post, I’m […] [...]

AI

By Robin Bordoli, September 29, 2016

The 7 Myths of AI

If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the […] [...]

AI

By Robin Bordoli, September 26, 2016

CrowdFlower and Microsoft, Better Together

About a year ago the teams at CrowdFlower and Microsoft Azure Machine Learning got together to discuss a shared vision. […] [...]

AI

By Tyler Schnoebelen, September 23, 2016

More data beats better algorithms

Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the […] [...]

Company

By CrowdFlower Admin, September 16, 2016

CrowdFlower Events in September

September will be a busy month for us at CrowdFlower. We’ll be attending conferences and events in New York, Atlanta, […] [...]

AI

By Tyler Schnoebelen, September 8, 2016

Nattering Nabobs of Negativity: Bigrams, “Nots,” and Text Classification

You can get pretty far in text classification just by treating documents as bags of words where word order doesn’t […] [...]