Welcome to Algorithmia's resources page. Navigate to our publications, events, and videos to learn more about us.
Jupyter notebook integration
Create, update, and publish algorithms using the Algorithmia Python client, and deploy models directly from an existing Jupyter Notebook workflow.
Algorithmia teamed up with the UN to build a repository of algorithms that are available to every member state to aid in smarter social, health, environmental, and economic decision making.
AI Layer one-pager
Algorithmia’s AI Layer manages the machine learning life cycle and automates the deployment of machine learning models at scale.
ML Infrastructure Part 2: Model Deployment
Machine learning model deployment introduces new challenges to the traditional software development life cycle, and current DevOps workflows may not be prepared to meet those challenges.
The State of Enterprise Machine Learning
We surveyed more than 500 enterprise leaders to understand how companies of all sizes are thinking about and developing their data science and machine learning capabilities.