indico Blog

Resources for exploring machine learning and data science

November 15, 2016

Posted by
Madison May

Data Science Deployments with Docker

Deploying machine learning models has always been a struggle. With the recent release of NVIDIA's nvidia-docker tool, however, accessing GPUs from within Docker is a breeze, and we're already reaping the benefits here at indico. In this tutorial, we’ll show you how to set nvidia-docker up so you can also deploy machine learning models with ease.

November 3, 2016

Posted by
indico

Read Less, Learn More: Introducing indico’s Summarization API

When faced with information overload, let machine learning come to the rescue. The new indico Summarization API is designed to read through an article and pick out key, “big idea” sentences so you can quickly determine whether the article’s content will be useful to you.

October 18, 2016

Posted by
Amanda Sivaraj

Build Customized Deep Learning Models, No Code Required

Introducing CrowdLabel, the latest addition to our machine learning toolkit. CrowdLabel provides a quick and seamless way to build custom models around your data -- all without writing any code. Use it to create a customized topic tagging model in this tutorial.

October 4, 2016

Posted by
indico

TensorFlow in Practice (Video + Slides)

TensorFlow is a wonderful tool for rapidly implementing neural networks. Nathan Lintz teaches the basics of TensorFlow and how to build neural networks in just a few lines of code at the Boston Machine Learning Meetup.

August 4, 2016

Posted by
Amanda Sivaraj

Deep Learning in Fashion (Part 2): Matching Recommendations

We partnered with DeepLearning.TV to introduce the concept of transfer learning and show how we used it to build a fashion matching demo with our Custom Collections API. Follow along with us in this series of three posts. In Part 2, we take a look at how e-commerce fashion sites can improve product recommendations to provide a better experience for shoppers, as well as boost likelihood to purchase.

August 2, 2016

Posted by
Amanda Sivaraj

Deep Learning in Fashion (Part 1): Transfer Learning

We partnered with DeepLearning.TV to introduce the concept of transfer learning and show how we used it to build a fashion matching demo with our Custom Collections API. Follow along with us in this series of three posts. In Part 1, we take a closer look at how transfer learning works, and why you can't use it with traditional machine learning algorithms.

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Recent Posts

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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Inspiring Hack Projects: Spill.it

A few weeks ago we had the pleasure of supporting HackBeanpot, for the second year in a row, at Genuine HQ. We caught up with the winners... more

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Creating Personalized Content Filters with CrowdLabel

We are all inundated with information. Even in a Google-powered world, where it’s relatively easy to find any type of content that we may... more

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