With over 317 million active users a month, Twitter has become a wealth of data for those trying to understand how people feel about brands, topics, and more. Mining Twitter data for insights is one of the most common natural language processing tasks.
Dear Friends of Algorithmia,
Every year we like to take a small step back and reflect on what we achieved in 2016. Last year we went from private beta to a top Seattle startup.
2016, as we hoped it would be, was a big year for us. We provided more than 30,000 developers with access to over 2,700 algorithmic microservices – a humbling achievement for our small, dedicated team.
At Algorithmia, we believe in democratizing access to state of the algorithms. That’s why we’re excited to provide an AWS AMI and pipeline for creating your own style transfer models.
Want a fun way to quickly convert photos and images into the style of masterpiece paintings and drawings?
Introducing Cloud Hosted Deep Learning Models
At Algorithmia, we believe in democratizing access to state-of-the-art algorithmic intelligence. That’s why we’re introducing a solution for hosting and distributing trained deep learning models on Algorithmia using GPUs in the cloud.
Today, data science researchers and developers can train their neural nets locally, and deploy them to Algorithmia’s scalable, cloud infrastructure, where they become smart API endpoints for other developers to use. Read More…