This month, look at the three big machine learning trends and the future of artificial intelligence.
We also learn how to turn a machine learning model into scalable, severless API, and how to setup an image processing pipeline to smartly crops photos. Plus, we feature the best new algorithmic microservices.
Have a question? Let us know @Algorithmia.
Every company is now a data company, capable of using machine learning in the cloud to deploy intelligent apps at scale, thanks to three machine learning trends: data flywheels, the algorithm economy, and cloud-hosted intelligence. Read more.
Already have a trained scikit-learn or NLTK model? With Algorithmia you can quickly transform your model into a scalable, serverless microservice in just a few minutes. We’ll show you how with the guides below.
Plus, here’s an example of how we turned our GitHub README analyzer model into an API.
We’re excited to announce the Algorithmia Data Portal. A dedicated I/O hub that makes it easy to connect Algorithmia to Amazon S3 or Dropbox to access your data where it’s at.
In this demo, we’ll use SmartThumbnail, a microservice that uses face detection, to perfectly crop every photo to the same size without an awkwardly cropped heads or faces. Read more.
Approximate Nearest Neighbors – A clustering algorithm that approximates the nearest neighbors.
Why You Need It: Find the approximate nearest neighbor from a dataset without sacrificing speed or memory.
File Converter – Convert files from one type to another.
Why You Need It: Always have your files in the format you need.
Reverse Geocoder – Returns the city, country, and more from the latitude and longitude
Why You Need It: A fast, reverse geocoder that works offline.
Don’t Know Where to Start?
Start here, or just reply to this email, and let us know what you’re looking for. We’d be happy to help.
–Matt from Algorithmia