Guide machine learning projects from design to production with the techniques in this one-of-a-kind project management guide. No ML skills required
In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including
Understanding an ML project’s requirements
Setting up the infrastructure for the project and resourcing a team
Working with clients and other stakeholders
Dealing with data resources and bringing them into the project for use
Handling the lifecycle of models in the project
Managing the application of ML algorithms
Evaluating the performance of algorithms and models
Making decisions about which models to adopt for delivery
Taking models through development and testing
Integrating models with production systems to create effective applications
Steps and behaviors for managing the ethical implications of ML technology
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