The Importance of Machine Learning Pipelines – The Official Blog of BigML.com

As Machine Learning solutions to real-world problems spread, people are beginning to acknowledge the glaring need for solutions that go beyond training a single model and deploying it. The simplest process should at least cover feature extraction, feature generation, modeling, and monitoring in a traceable and reproducible way. In BigML, it's been a while since we realized that, and the platform has constantly added features designed to help our users easily build both basic and complex solutions. Those solutions often need to be deployed in particular environments. Our white-box approach is totally compatible with that, as users can download the models created in BigML and predict with them wherever needed by using bindings to Python or other popular programming languages.