Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production English | 2022 | ISBN: 1803241330 | 288 Pages | PDF EPUB | 18 MB
The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.
