EDUCATION & TRAINING
I just published Part 1 of "The Machine Learning Engineering Series", where I break down the full lifecycle: how raw data becomes a trained model, gets containerised, and ships as a live API that other engineers can actually build on.
Dev.to Machine Learning
About This Tutorial
In "The Machine Learning Engineering Series," Michelle Buchiokonicha delves into the intricacies of transforming raw data into a deployable model. This comprehensive tutorial covers the entire lifecycle, from data preparation to model deployment as a live API. The series matters to data scientists and engineers seeking to bridge the gap between research and production. It's particularly relevant to those working with containerized environments, such as Docker, and those responsible for shipping models as APIs.