The Essential Guide to Training Data eBook

A machine learning algorithm isn’t worth much without great training data to power it. At Figure Eight, we’ve been providing that training data for a decade. We understand how to take raw data and annotate and label it so that it can be used to power the most ambitious projects for the some of the most innovative companies in the world. We work with any kind of data–whether it’s text, audio, images, product information, you name it–and provide high-quality,  labeled training sets at enterprise scale.

In this guide, we’ll give you a few of the lessons we’ve learned along the way so you can create the training data that makes your machine learning initiatives a success. You’ll learn:

  • Why simply using more data is often better than finding the latest cutting edge algorithm
  • Why just having a lot of big data isn’t the same as having labeled data
  • How to determine which labels to use to evaluate your success
  • Where to find some great open datasets to bootstrap your model