Tan, David
Effective Machine Learning Teams: Best Practices for ML Practitioners
- ISBN 13:
- 9781098144630
- author:
- Tan, David
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2024
- Pages:
- 399
- Dimensions:
- 23.3 x 17.8 x 2.1 centimetres (0
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Effective Machine Learning Teams: A Practical Guide to Accelerating Delivery. Learn how to bridge the gap between data science and Lean product delivery to accelerate the delivery of machine learning solutions. This practical guide provides valuable skills and techniques for data scientists, ML engineers, and their leaders to reduce toil and waste, shorten feedback loops, and improve team flow when building ML systems and products. Based on real-world experience across multiple projects, this book applies time-tested software engineering skills and Lean product delivery practices to help teams overcome common traps in the ML world. You'll learn how to apply these techniques to write automated tests, containerize development environments, refactor problematic codebases, and more.
Related Products
Related Products
The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
Ping, David
Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases
Yuxi
Practical Machine Learning in R
Nwanganga, Fred
Effective Coding with VHDL: Principles and Best Practice
Ricardo Jasinski
Effective Practice Learning in Social Work
Parker, Jonathan