Book description
Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.
Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how to overcome friction and experience flow when delivering ML solutions.
You'll also learn how to:
- Write automated tests for ML systems, containerize development environments, and refactor problematic codebases
- Apply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutions
- Apply Lean delivery and product practices to improve your odds of building the right product for your users
- Identify suitable team structures and intra- and inter-team collaboration techniques to enable fast flow, reduce cognitive load, and scale ML within your organization
Publisher resources
Table of contents
- Preface
- 1. Challenges and Better Paths in Delivering ML Solutions
- I. Product and Delivery
- 2. Product and Delivery Practices for ML Teams
- II. Engineering
- 3. Effective Dependency Management: Principles and Tools
- 4. Effective Dependency Management in Practice
- 5. Automated Testing: Move Fast Without Breaking Things
- 6. Automated Testing: ML Model Tests
- 7. Supercharging Your Code Editor with Simple Techniques
- 8. Refactoring and Technical Debt Management
- 9. MLOps and Continuous Delivery for ML (CD4ML)
- III. Teams
- 10. Building Blocks of Effective ML Teams
- 11. Effective ML Organizations
- Index
- About the Authors
Product information
- Title: Effective Machine Learning Teams
- Author(s):
- Release date: March 2024
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098144630
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