Mage Blog

Every business creates magic in the lives of their users. Magic means AI. Our mission is to make it easier for anyone to become a mage and master AI.

To train machine learning models, you need to prepare your data ahead of time. We'll show how to complete data preparation in Pandas and Spark using jobs.

Your tech stack will evolve over time. We are sharing our tech stack at Mage to help other companies get started and to get feedback from the community.

Companies of any size working with data run complex jobs on a regular basis. See how Mage went from Airflow to Astronomer Cloud to make scheduling easier.

The right startup’s SaaS (software-as-a-service) stack can improve and optimize day-to-day operations, critical for success and growth within your company.

Image augmentation is a technique for training computer vision models in order to generate artificial training data using random rotations and shifts.

Knowledge distillation is a common way to train compressed models by transferring the knowledge learned from a large model into a smaller model.

Craft your process to maximize your team’s autonomy, collaboration, and adaptability; thus, increasing your team’s effectiveness.