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Simon Thompson

Managing Machine Learning Projects is a comprehensive guide to delivering successful machine learning projects from idea to production. The book is laid out as a series of fictionalized sprints that take you from pre-project requirements and proposal development all the way to deployment. You’ll discover battle-tested techniques for ensuring you have the appropriate data infrastructure, coordinating ML experiments, and measuring model performance.

With this book as your guide, you’ll know how to bring a project to a successful conclusion, and how to use your lessons learned for future projects.

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