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Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! Managing Machine Learning Projects is an end-to-end guide for project managers who need to deliver machine learning applications on time and under budget. It gives you a unique set of tools, approaches, and processes designed to handle the unique requirements of machine learning project management—all proven in practice to deliver success in full-scale business environments.
Introduction: Delivering Machine Learning projects is hard, let’s do it better
Pre-project: from opportunity to requirements
Pre-project: from requirements to a proposal
Sprint Zero: Getting started
Sprint 1: Diving into the problem
Sprint 1: EDA, ethics, baseline evaluation
Sprint 2: Making useful models with ML
Sprint 2: Testing and selection
Sprint 3: System building and production
Post project (Sprint Ω)