indico Blog

Resources for exploring machine learning and data science

January 31, 2016

Posted by
Chris Lee

Happy Chinese New Year! Going from Tweets to Trends in Minutes

Happy Chinese New Year! What are people buying, how are people celebrating, and what are their favorite activities? This is a demonstration of getting trends from Twitter in a matter of minutes using indico's keywords and image recognition APIs. Code demo and walk-through included!

January 25, 2016

Posted by
Amanda Sivaraj

Our APIs Speak New Languages

You asked for multilingual support for our APIs, so we've started adding it for you! See how to use the Sentiment Analysis and Keywords APIs for up to 18 different languages.

December 15, 2015

Posted by
Amanda Sivaraj

Sentiment HQ Sets a New Accuracy Standard

Sentiment HQ is the best of its kind. Find out what makes it special, see how it compares to our original Sentiment model, and learn more about the tech powering our APIs.

December 7, 2015

Posted by
indico

Machine Learning for Non-technical People (Slides)

Did you miss Slater's talk at General Assembly Boston on the rapidly growing field of machine learning? No problem -- we've uploaded his slides so you can better understand how to integrate machine learning into your projects or business.

November 13, 2015

Posted by
Dan Kuster

The indico Machine Learning Team’s Take on TensorFlow

Earlier this week, Google released TensorFlow, an open source library for numerical computation. Given the general frothiness around machine learning, we thought folks might appreciate a simple, straightshootin’ take from indico’s Machine Learning team. We deal with this stuff daily, and can hopefully shed some light on how this works in an environment where machine learning code is built and shipped constantly.

November 4, 2015

Posted by
Slater Victoroff

The Magic of Hackathons

There's nothing quite like a hackathon. From the second you walk in the door, there's a special kind of electricity all around the room. You know that here, magic is made.

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Making Deep Learning Practical with Smaller Datasets

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Building Better Search

In speech and writing, how often do we use one term -- and only that term -- to describe an idea? For example, if you were searching... more

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