indico Blog

Resources for exploring machine learning and data science

March 21, 2016

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Deep Advances in Generative Modeling

In recent years, deep learning approaches have come to dominate discriminative problems in many sub-areas of machine learning. Alongside this, they have also powered exciting improvements in generative and conditional modeling of richly structured data such as text, images, and audio. Alec Radford presents on new advances in generative modeling at Boston ML Forum 2016.

March 14, 2016

Posted by
Dan Kuster

A Fast Method to Stream Data from Big Data Sources

Modern computers are really quite powerful for processing streams of data. You shouldn't have to resort to a Hadoop cluster just to process data you want to use locally. There has to be a better way, right?

March 7, 2016

Posted by
Luke Metz

Getting Started with MXNet

MXNet is a lightweight, portable, and flexible distributed deep learning framework with mobile deployment capabilities. Its focus on speed makes it miles faster than Theano, Tensorflow for single and multiple GPUs. Luke Metz, a member of our Advanced Development team, walks through the process of building a small neural network from the bottom up in this tutorial.

February 22, 2016

Posted by
Nathan Lintz

Exploring Computer Vision (Part II): Transfer Learning

New approaches in machine learning allow us to reuse parts of a model trained to perform a task in one domain to solve other problems in different domains. This means considerably less data and time are needed to create new, powerful algorithms.

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.

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