Effective Machine Learning Teams

Best Practices for ML Practitioners

David Tan, Ada Leung, David Colls

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English

O'Reilly Media
15 March 2024

Information theory; Mathematical theory of computation; Machine learning; Neural networks & fuzzy systems; Information architecture

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a practical and simple way. David Tan and Ada Leung from Thoughtworks show you how to apply time-tested software engineering skills and Lean delivery practices that will improve your effectiveness in ML projects. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help teams avoid common traps in the ML world, so you can iterate more quickly and reliably. With these techniques, data scientists and ML engineers can overcome friction and experience flow when delivering machine learning solutions. This book shows you how to: Apply engineering practices such as writing automated tests, containerizing development environments, and refactoring problematic code bases Apply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutions Design maintainable and evolvable ML solutions that allow you to respond to changes in an agile fashion Apply delivery and product practices to iteratively improve your odds of building the right product for your users Use intelligent code editor features to code more effectively

By: David Tan, Ada Leung, David Colls
Imprint: O'Reilly Media
Country of Publication: United States
Dimensions: Height: 233mm, Width: 178mm,
ISBN: 9781098144630
ISBN 10: 1098144635
Pages: 300
Publication Date: 15 March 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

"David Tan is a Senior ML Engineer at Thoughtworks. He has worked on multiple data and machine learning projects and applied time-tested software engineering practices to help teams iterate more quickly and reliably in the machine learning development lifecycle. Ada Leung is a Senior Business Analyst at Thoughtworks. She has technology delivery experience across several industries and her experience includes breaking down complex problems in varying domains, including customer facing applications, scaling of ML solutions, and more recently, data strategy and delivery of data platforms. She has been part of exemplar cross-functional delivery teams, both in-person and remotely, and is an advocate of cultivation as a way to build high performing teams. David ""Dave"" Colls is a technology leader with broad experience helping software and data teams deliver great results. David's technical background is in engineering design, simulation, optimization, and large-scale data-processing software. At Thoughtworks, he has led numerous agile and lean transformation projects, and most recently he established the Data and AI practice in Australia. In his practice leadership role, he develops new ML services, consults on ML strategy, and provides leadership to the delivery of ML initiatives."