Responsible for the data labeling for a machine learning project? Here are some insights we’ve developed while managing data labeling for machine learning.
Mining the knowledge and expertise of your data labeling team will improve the data quality of your machine learning project and increase your team’s productivity.
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
In an attempt to avoid relying on polling in a front-end application or third-party services, we attempt servicing asynchronous notifications over websockets using only PostgreSQL and Scala.
Could AI have saved Gabriel Fernandez’s life? Data and social scientists argue that machine learning might have kept him alive. What exactly is this potentially life-saving AI? Learn more about predictive risk modeling, how governments currently use similar AI, and the ethical questions such work raises.
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.