Algorithmia

Incorporating Datasets from data.world in your Algorithms

We are happy to share a new set of algorithms from our partner data.world.  If you aren’t familiar with data.world, they have an amazing marketplace of datasets available covering the wide spectrum of what’s available.  I can’t think of a better pairing for the data.world datasets than with the many algorithms available in the Algorithmia.com directory! Read More…

Build an Emotionally-Aware Chatbot in 15 Minutes

Chatbots offer a useful way to leverage the power of AI, and are now accessible for any size of application. The back-and-forth written nature of chatting is conducive to utilizing existing chatbot frameworks and AI models to automate interactions which would have required a whole team of agents just a short time ago. To demonstrate how easy it is, we’ll use a chatbot framework and a sentiment analysis model from the Serverless AI Cloud — both of which have free trial tiers.

Let’s create one now! It only takes a few minutes, and it’s free to get started. Read More…

Meet the Algorithmia Team at the Strata Data Conference in NYC, September 26-28, 2017

Location: Javits Center in New York City
Date: September 26-28, 2017

The theme of Strata is “turning data into advantage”—here at Algorithmia, we help your team get the models from your data science efforts into production. Our team will be available to talk through the challenges you’re facing in productionizing your models or finding the right models from our marketplace to meet your project’s needs. Whatever your questions are, we’re here to help.

Quick Facts:

  • Meet us at the Algorithmia Booth #P33
  • We’ll be giving away Algorithmia swag—so stop by and say hi.
  • Get 20% off your conference pass by entering the Algorithmia20 discount code at the registration

Introduction to Character Recognition

This is easy to understand, right?

easy ocr

How about this? A bit harder?

moderate natural

Are you able to decipher this one at all?

hard natural
courtesy of Faris Algosaibi

The first example can be easily recognized by most character recognition algorithms. However, as your text gets progressively more complex, this seemingly simple task becomes more and more difficult for even the best machine learning algorithms to successfully complete. Read More…