Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto Contributor(s): Carter, Eric (Author), Hurst, Matthew (Author) |
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ISBN: 1484251067 ISBN-13: 9781484251065 Publisher: Apress OUR PRICE: $71.99 Product Type: Paperback - Other Formats Published: August 2019 |
Additional Information |
BISAC Categories: - Computers | Programming - Microsoft - Computers | Software Development & Engineering - General - Computers | Databases - General |
Dewey: 004.165 |
Physical Information: 0.56" H x 7" W x 10" (1.04 lbs) 248 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors' approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product. What You'll Learn
Who This Book Is For Anyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data. |