E-Books →Effective Machine Learning Teams Best Practices for Ml Practitioners

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