Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto

Agile Machine Learning: A Guide to Delivering Superior Data Products through Agile Processes. This book teaches you how to build resilient applied machine learning teams that can deliver better data products by adapting the principles of the Agile Manifesto. By applying agile processes and learning from real-world examples, you'll be able to organize and manage a fast-paced team that can solve novel data problems at scale in a production environment. You'll learn how to effectively run a data engineering team that is metrics-focused, experiment-focused, and data-focused, making sound implementation and model exploration decisions based on the data and metrics. The book also covers the importance of data literacy, including analyzing data in real-time, measuring current state objectively, and understanding key attributes of reliable data engineers. This book is suitable for anyone managing a machine learning team or responsible for creating production-ready inference components, as well as those involved in data project workflows such as sampling, labeling, training, testing, improving, and maintaining models. A basic understanding of software engineering and machine learning is assumed.