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 […] [...]

Research and Insights

By Jack Shay, September 1, 2016

Product Management, in 5 Questions

Having been delighted to recently add two outstanding and rapidly-ramping product managers at CrowdFlower, I was reminded just how very […] [...]

AI

By Lukas Biewald, August 23, 2016

What we can learn from AI’s mistakes

AI has been making a lot of progress lately by almost any standard. It has quietly become part of our […] [...]

AI

By Tyler Schnoebelen, August 17, 2016

Training an AI Doctor

Some of the earliest applications of artificial intelligence in healthcare were in diagnosis—it was a major push in expert systems, […] [...]