Production Machine Learning Systems: A Deep Theoretical Guide Introduction Machine learning is often introduced as the process of collecting data, training a model, evaluating its performance, and using the model to make predictions. In real-world applications, however, this is only a small part of the overall problem. A machine learning model that performs well inside a Jupyter Notebook may not…